Abstract: Electronic apparatuses and adjustment methods thereof are provided. The electronic apparatus includes a camera module and a processor. The camera module is enabled into an HDR mode and captures a reference frame according to a first exposure setting, wherein the reference frame corresponds to a plurality of luminance values. The processor calculates a weighted luminance value of the reference frame according to the luminance values, generates a comparison result by comparing the weighted luminance value and a luminance target of the HDR mode, and decides a second exposure setting according to the comparison result.

Abstract: A method for manufacturing a light-emitting device, comprises steps of: providing an as-cut wafer having an irregularly uneven surface comprising surface roughness greater than 0.5 ?m; and forming a light-emitting stack on the irregularly uneven surface of the as-cut wafer by an epitaxial growth method, and the light-emitting stack comprises an upper surface having surface roughness less than 0.2 nm; wherein there is no patterning or roughing process after the step of providing the as-cut wafer and before the step of forming the light-emitting stack on the irregularly uneven surface of the as-cut wafer.

Abstract: Architecture that automatically detects historical search contexts as well as behaviors related to a search query. Machine learning and hand-authored rules are employed to automatically identify search contexts. Historical information likely to be useful in the current context is surfaced. When a user enters a search query or executes another search behavior, past behaviors are exposed which are contextually related to the current behavior. The architecture also provides automatic discovery of historical contexts, features related to the contexts, and training or authoring of a system for classifying behavior into contexts, using some combination of the machine learning and/or hand-authored rules. A runtime system classifies the current user behavior into a context and surfaces contextual information to the user.

Abstract: A canopy clustering process merges at least one set of multiple single-center canopies together into a merged multi-center canopy. Multi-center canopies, as well as the single-center canopies, can then be used to partition data objects in a dataset. The multi-center canopies allow a canopy assignment condition constraint to be relaxed without risk of leaving any data objects in a dataset outside of all canopies. Approximate distance calculations can be used as similarity metrics to define and merge canopies and to assign data objects to canopies. In one implementation, a distance between a data object and a canopy is represented as the minimum of the distances between the data object and each center of a canopy (whether merged or unmerged), and the distance between two canopies is represented as the minimum of the distances for each pairing of the center(s) in one canopy and the center(s) in the other canopy.

Abstract: A canopy clustering process merges at least one set of multiple single-center canopies together into a merged multi-center canopy. Multi-center canopies, as well as the single-center canopies, can then be used to partition data objects in a dataset. The multi-center canopies allow a canopy assignment condition constraint to be relaxed without risk of leaving any data objects in a dataset outside of all canopies. Approximate distance calculations can be used as similarity metrics to define and merge canopies and to assign data objects to canopies. In one implementation, a distance between a data object and a canopy is represented as the minimum of the distances between the data object and each center of a canopy (whether merged or unmerged), and the distance between two canopies is represented as the minimum of the distances for each pairing of the center(s) in one canopy and the center(s) in the other canopy.

Abstract: A light-emitting device includes: a light-emitting stack having an upper surface having a first surface roughness less than 0.2 nm; and an as-cut wafer comprising an irregularly uneven surface facing the light-emitting stack and having a second surface roughness greater than 0.5 ?m.

Abstract: Disclosed is a light-emitting device, comprising: a first multi-quantum well structure comprising a plurality of first well layers and a first barrier layer stacked alternately, wherein the energy gap of the first barrier layer is larger than that of any one of the first well layers; a second multi-quantum well structure comprising a plurality of second well layers and a second barrier layer stacked alternately, wherein the energy gap of the second barrier layer is larger than that of any one of the second well layers; and a third barrier layer disposed between the first multi-quantum well structure and the second multi-quantum well structure, and the third barrier layer connected with the first well layer and the second well layer, wherein the energy gap of the third barrier layer is larger than that of any one of the first well layers and the second well layers, and the thickness of the third barrier layer is larger than that of any one of the first barrier layer and the second barrier layer.

Abstract: A system for identifying influential users of a social network platform. The system may compute a score for each of multiple users. Such a score may be topic-based, leading to a more accurate identification of influential users. Such a topic-based score may indicate authority and/or impact of a user with respect to a topic. The impact may be computed based on authority combined with other factors, such as power of the user. The authority score may be simply computed, in whole or in part, directly from a tweet log without, for example creating a retweet graph. As a result, the scores may be computed, using MapReduce primitives or other constructs that allow the computations to be distributed across multiple parallel processors. Such scores may be used to select users based on impact as part of social trend analysis, marketing or other functions.

Abstract: A light-emitting device comprises a substrate; a first semiconductor layer formed on the substrate; a light-emitting layer on the first semiconductor layer; and a second semiconductor layer having a rough surface formed on the light-emitting layer, wherein the rough surface comprises a plurality of cavities randomly distributed on the rough surface, and one of the plurality of cavities has a substantially hexagonal shape viewed from top and a curved sidewall viewed from cross-section.

Abstract: A system for identifying influential users of a social network platform. The system may compute a score for each of multiple users. Such a score may be topic-based, leading to a more accurate identification of influential users. Such a topic-based score may indicate authority and/or impact of a user with respect to a topic. The impact may be computed based on authority combined with other factors, such as power of the user. The authority score may be simply computed, in whole or in part, directly from a tweet log without, for example creating a retweet graph. As a result, the scores may be computed, using MapReduce primitives or other constructs that allow the computations to be distributed across multiple parallel processors. Such scores may be used to select users based on impact as part of social trend analysis, marketing or other functions.

Abstract: Technologies pertaining to computing a respective TF-IDF value for each term in each document of a relative large document corpus are described herein. TF-IDF values are computed with respect to terms in documents of a large document corpus by in a single pass over the document corpus. Secondary sorting functionality of a distributed computing framework is exploited to compute TF-IDF values efficiently.

Abstract: Described herein are various technologies pertaining to identifying global outlier candidates from a relatively large collection of computer-readable objects in a distributed computing environment. The collection of computer-readable objects is partitioned into a plurality of sets of objects, and local outlier candidates are identified from each set of objects in the plurality of sets of objects. The local outlier candidates are updated through a hierarchical pairwise similarity analysis until global outlier candidates are identified. Thereafter, a pairwise similarity analysis is undertaken with respect to the global outlier candidates and the sets of objects in the plurality of sets of objects to identify true global outliers.

Abstract: An optoelectronic device comprising: a substrate; and a transition stack formed on the substrate comprising one first transition layer formed on the substrate having a first hollow component formed inside the first transition layer and a second transition layer formed on the first transition layer having a second hollow component formed inside the second transition layer wherein the first hollow component and the second hollow component having a volume respectively, and the volume of the first hollow component is different with the second hollow component and the material of the transition stack comprises at least two element.

Abstract: Technologies pertaining to computing a metric that is indicative of whether an n-gram in a large corpus of text is a collocation are described herein. The metric is computed in connection with a distributed computing framework, wherein n-grams of varying lengths can be analyzed in a single input data pass, and wherein secondary sorting functionality of the distributed computing framework need not be invoked.

Abstract: A light-emitting device comprises a semiconductor stacked structure, the semiconductor stacked structure comprising a p-type semiconductor layer, a n-type semiconductor layer and an multiple quantum well structure between the p-type semiconductor layer and the n-type semiconductor layer, wherein the multiple quantum well structure comprises a first multiple quantum well structure near the n-type semiconductor layer and a second multiple quantum well structure near the p-type semiconductor layer, wherein the first multiple quantum well structure has positive interface bound charge and the second multiple quantum well structure has zero interface bound charge.

Abstract: Techniques for identifying influential users of a social networking service are provided. Influential users may be identified via an algorithm in which an influence score is assigned to each user based at least in part on other members of the community users having taken an affirmative step with respect to the user's communications. Iterative processing may be performed, with each user's influence score being determined by contributions from other users, and each contribution being determined by the contributor's influence score as of a prior iteration. A map-reduce framework may be employed, with data representing the community being partitioned into a plurality of discrete shards, a map process corresponding to each shard calculating an influence score for users represented in the shard, and reduce processes ranking users according to influence score across all shards.

Abstract: Some embodiments of the invention employ algorithms enabling the calculation of one or more statistical moments in a single pass of a dataset. For example, some embodiments may apply algorithms for calculating statistical moments to a dataset using a map-reduce framework, whereby an input dataset is partitioned into multiple shards, a separate map process is used to apply an algorithm enabling calculation of one or more statistical moments in a single scan to each shard, and one or more reduce processes consolidate the results generated by the map processes to calculate the one or more statistical moments across the entire dataset. In other embodiments of the invention, a map-reduce framework may be employed to apply algorithms enabling calculation of a covariance between data elements expressed in a dataset, instead of or in addition to one or more statistical moments.

Abstract: A canopy clustering process merges at least one set of multiple single-center canopies together into a merged multi-center canopy. Multi-center canopies, as well as the single-center canopies, can then be used to partition data objects in a dataset. The multi-center canopies allow a canopy assignment condition constraint to be relaxed without risk of leaving any data objects in a dataset outside of all canopies. Approximate distance calculations can be used as similarity metrics to define and merge canopies and to assign data objects to canopies. In one implementation, a distance between a data object and a canopy is represented as the minimum of the distances between the data object and each center of a canopy (whether merged or unmerged), and the distance between two canopies is represented as the minimum of the distances for each pairing of the center(s) in one canopy and the center(s) in the other canopy.

Abstract: Electronic apparatuses and adjustment methods thereof are provided. The electronic apparatus includes a camera module and a processor. The camera module is enabled into an HDR mode and captures a reference frame according to a first exposure setting, wherein the reference frame corresponds to a plurality of luminance values. The processor calculates a weighted luminance value of the reference frame according to the luminance values, generates a comparison result by comparing the weighted luminance value and a luminance target of the HDR mode, and decides a second exposure setting according to the comparison result.

Abstract: The application illustrates a light-emitting device including a contact layer and a current spreading layer on the contact layer. A part of the contact layer is a rough structure and a part of the contact layer is a flat structure. A part of the current spreading layer is a rough structure and a part of the current spreading layer is a flat structure. The rough region of the contact layer and the rough region of the current spreading layer are substantially overlapped.