Abstract: In one embodiment, the present invention includes a method for providing power state change information from a plurality of cores of a processor to a predictor at a periodic interval and generating a prediction to indicate a predicted operation level of the cores during a next operating period. Other embodiments are described and claimed.

Abstract: In one embodiment, the present invention includes a method for providing power state change information from a plurality of cores of a processor to a predictor at a periodic interval and generating a prediction to indicate a predicted operation level of the cores during a next operating period. Other embodiments are described and claimed.

Abstract: A method of operation of a navigation system includes: extracting a feature from a sample field with a manual label associated with a point of interest, the feature for locating the sample field in a document; generating a rule based on the feature extracted to assign the manual label to a target field; extracting the target field from the document with the manual label assigned by applying the rule to the document; and inserting the target field associated with the point of interest to a location-based guide for displaying on a device.

Abstract: In one embodiment, the present invention includes a method for providing power state change information from a plurality of cores of a processor to a predictor at a periodic interval and generating a prediction to indicate a predicted operation level of the cores during a next operating period. Other embodiments are described and claimed.

Abstract: In one embodiment, digital content labeling includes receiving digital media content. Content is broken into topically homogenous segments, and these segments are clustered in accordance with segment similarities. A topic label is associated by user assignment or user confirmation with a segment in a cluster, and this topic label is propagated to other segments in the same cluster. A label rank may be associated with a label.

Abstract: In one embodiment, a method includes obtaining a text representation, and identifying a current topic structure for the text representation. The first topic structure is initially identified as an initial first topic structure. The method also includes identifying at least a first document that has a first document topic structure that is similar to the current first topic structure, refining the current first topic structure based on the first document topic structure, and introducing topic labels in the text representation based on the current first topic structure.

Abstract: A method is provided in one example embodiment and includes extracting sentences from data, which comprises a speech transcript; tokenizing the plurality of sentences to develop for each of the plurality of sentences a sentence vector and at least one feature vector; and performing topic segmentation on the speech transcript using the sentence vectors and feature vectors, the topic segmentation resulting in a listing of segments corresponding to the speech transcript. In certain embodiments, the feature vector may be at least one of a cue word feature vector, a speaker change feature vector, and a scene change feature vector.

Abstract: A method of operation of a navigation system includes: extracting navigation-related web documents having a point of interest; generating formatting sequences of the navigation-related web documents; selecting a user-defined percentile representing reciprocal fraction of an expected number of clusters; calculating a threshold value for a first cluster with the threshold value to be equal to the user-defined percentile of a first normalized distribution of sample comparison values between the first cluster and formatting sequence samples from the formatting sequences, the first cluster is from the clusters; computing an associated comparison value between a first formatting sequence from the formatting sequences and the first cluster; grouping the first formatting sequence with the first cluster when the associated comparison value exceeds the threshold value for the first cluster; and generating a travel route for the point of interest related to the first cluster for displaying on a device.

Abstract: A method of operation of a navigation system includes: extracting a feature from a sample field with a manual label associated with a point of interest, the feature for locating the sample field in a document; generating a rule based on the feature extracted to assign the manual label to a target field; extracting the target field from the document with the manual label assigned by applying the rule to the document; and inserting the target field associated with the point of interest to a location-based guide for displaying on a device.

Abstract: A method of operation of a navigation system includes: extracting navigation-related web documents having a point of interest; generating formatting sequences of the navigation-related web documents; selecting a user-defined percentile representing reciprocal fraction of an expected number of clusters; calculating a threshold value for a first cluster with the threshold value to be equal to the user-defined percentile of a first normalized distribution of sample comparison values between the first cluster and formatting sequence samples from the formatting sequences, the first cluster is from the clusters; computing an associated comparison value between a first formatting sequence from the formatting sequences and the first cluster; grouping the first formatting sequence with the first cluster when the associated comparison value exceeds the threshold value for the first cluster; and generating a travel route for the point of interest related to the first cluster for displaying on a device.

Abstract: A method of operation of a navigation system includes: receiving an entry for a point of interest; locating a review on an original webpage for the point of interest; generating an identical segmentation shared by a field in the review from a display format of the original webpage; selecting the field based on identifying the identical segmentation shared for grouping the field; generating a revised webpage based on aligning the field; and generating a travel route based on selecting the point of interest for displaying on a device.

Abstract: In one embodiment, the present invention includes a method for providing power state change information from a plurality of cores of a processor to a predictor at a periodic interval and generating a prediction to indicate a predicted operation level of the cores during a next operating period. Other embodiments are described and claimed.

Abstract: In one embodiment, the present invention includes a method for providing power state change information from a plurality of cores of a processor package to a predictor at a periodic interval and generating a prediction to indicate a predicted operation level of the cores during a next operating period. Other embodiments are described and claimed.

Abstract: Method, apparatus and system are described to perform a feature eliminating method based on a support vector machine. In some embodiments, a value for each feature in a group of features provided by a training data is determined. At least one feature is eliminated from the group by utilizing the value for each feature in the group. The value for each feature in the group is updated based upon a part of the training data that corresponds to the eliminated feature.

Abstract: In one embodiment, the present invention includes a method for providing power state change information from a plurality of cores of a processor package to a predictor at a periodic interval and generating a prediction to indicate a predicted operation level of the cores during a next operating period. Other embodiments are described and claimed.

Abstract: In one embodiment, a processor package is controlled to be in a package low power state for a first portion of an operation interval and in a package active state for a second portion of the operation interval. To enable the low power state, operations scheduled during the first portion are delayed until the second portion. Other embodiments are described and claimed.

Abstract: Method, apparatus and system are described to perform a feature eliminating method based on a support vector machine. In some embodiments, a value for each feature in a group of features provided by a training data is determined. At least one feature is eliminated from the group by utilizing the value for each feature in the group. The value for each feature in the group is updated based upon a part of the training data that corresponds to the eliminated feature.

Abstract: A method, apparatus, and system are provided for k-means clustering using t-test computation. According to one embodiment, k-means clustering is performed on a dataset. In performing k-means clustering, the dataset having various points is partitioned into several clusters. The closeness of a given point to a given cluster is determined. Then, t-test computation is performed to determine statistical linear relationship between the point and the cluster. If the point is found to be close to the cluster and a statistical linear relationship is found between the point and the cluster, the current position of the point is maintained.

Abstract: Apparatuses, methods, and systems associated with and/or having components capable of, summarizing electronic documents are disclosed herein.

Abstract: A method, apparatus, and system are provided for k-means clustering using t-test computation. According to one embodiment, k-means clustering is performed on a dataset. In performing k-means clustering, the dataset having various points is partitioned into several clusters. The closeness of a given point to a given cluster is determined. Then, t-test computation is performed to determine statistical linear relationship between the point and the cluster. If the point is found to be close to the cluster and a statistical linear relationship is found between the point and the cluster, the current position of the point is maintained.