Abstract: A computerized annotation method achieves real-time operation and better optimization properties while preserving the architectural advantages of the generative modeling approach. A novel clustering algorithm for objects is represented by discrete distributions, or bags of weighted vectors, thereby minimizing the total within cluster distance, a criterion used by the k-means algorithm. A new mixture modeling method, the hypothetical local mapping (HLM) method, is used to efficiently build a probability measure on the space of discrete distributions. Thus, in accord with the invention every image is characterized by a statistical distribution. The profiling model specifies a probability law for distributions directly.

Abstract: The invention features the use of a matrix consisting of low molecular weight components for use as a self-eliminating coating for implantable medical devices. The matrix coatings can be used to enhance biocompatibility and to control the local delivery of biologically active agents.

Abstract: A method of trimming FET NVM cells in Multi-Level-Cell (MLC) operation is provided. The method comprises (a) applying a first voltage and a second voltage to a control gate and a bulk of the over-programmed FET NVM cell, respectively; and (b) applying a signal to a drain of the over-programmed FET NVM cell for a time period to produce a limited threshold voltage reduction; wherein polarities of the first voltage and the second voltage are opposite to that of the signal. Thus, the charge placement in the storing material could be precisely controlled within a small range of charge state and produce a multi-bits/cell of higher digital storage density.

Abstract: The invention features oligofluorinated cross-linked polymers and their use in the manufacture of articles and coating surfaces.

Abstract: In a system and method for the generation of attack-resistant, user-friendly, image-based CAPTCHAs (Completely Automated Public test to Tell Computers and Humans Apart), controlled distortions are applied to randomly chosen images and presented to a user for annotation from a given list of words. An image is presented that contains multiple connected but independent images with the borders between them distorted or otherwise visually obfuscated in a way that a computer cannot distinguish the borders and a user selects near the center of one of the images. The distortions are performed in a way that satisfies the incongruous requirements of low perceptual degradation and high resistance to attack by content-based image retrieval systems. Word choices are carefully generated to avoid ambiguity as well as to avoid attacks based on the choices themselves.

Abstract: The present invention relates to a compound of the following formula: where R1-R6, R10, Y, n, m, p, and q are as defined herein. Compounds and compositions of the present invention are useful for the treatment of diseases associated with the overexpression of CCR2.

Abstract: The present invention relates to morpholinyl, and pyrrolidinyl analogs, pharmaceutical compositions containing them, and their use as antagonists of urotensin II.

Abstract: A vehicle audio system 30 reconfigures with a PDAD 32 device by sending a series of queries through a supported channel, preferably a UART channel to the PDAD with the PDAD sending back requested control information 42 and meta-data housing information 46.

Abstract: The present invention relates to morpholinyl, and pyrrolidinyl analogs, pharmaceutical compositions containing them, and their use as antagonists of urotensin II.

Abstract: The present invention relates to morpholinyl, and pyrrolidinyl analogs, pharmaceutical compositions containing them, and their use as antagonists of urotensin II.

Abstract: A computerized annotation method achieves real-time operation and better optimization properties while preserving the architectural advantages of the generative modeling approach. A novel clustering algorithm for objects is represented by discrete distributions, or bags of weighted vectors, thereby minimizing the total within cluster distance, a criterion used by the k-means algorithm. A new mixture modeling method, the hypothetical local mapping (HLM) method, is used to efficiently build a probability measure on the space of discrete distributions. Thus, in accord with the invention every image is characterized by a statistical distribution. The profiling model specifies a probability law for distributions directly.

Abstract: Accessed memory locations of a data table are assigned weights based on usage history, and a hash table chains the highest-weight key values to an abbreviated hash index. The hash table includes keys having at least a predetermined weight so that highly accessed keys are identified by hashing. Additionally, the keys chained to a given hash index are ordered based on their weight in order to optimize the overall data retrieval time. The weights assigned to accessed keys are updated over time so that the content of the hash table is adaptively updated to suit the current table look-up requirements.

Abstract: A principled, probabilistic approach to meta-learning acts as a go-between for a ‘black-box’ image annotation system and its users. Inspired by inductive transfer, the approach harnesses available information, including the black-box model's performance, the image representations, and a semantic lexicon ontology. Being computationally ‘lightweight.’ the meta-learner efficiently re-trains over time, to improve and/or adapt to changes. The black-box annotation model is not required to be re-trained, allowing computationally intensive algorithms to be used. Both batch and online annotation settings are accommodated. A “tagging over time” approach produces progressively better annotation, significantly outperforming the black-box as well as the static form of the meta-learner, on real-world data.

Abstract: The aesthetic quality of a picture is automatically inferred using visual content as a machine learning problem using, for example, a peer-rated, on-line photo sharing Website as data source. Certain visual features of images are extracted based on the intuition that they can discriminate between aesthetically pleasing and displeasing images. A one-dimensional support vector machine is used to identify features that have noticeable correlation with the community-based aesthetics ratings. Automated classifiers are constructed using the support vector machines and classification trees, with a simple feature selection heuristic being applied to eliminate irrelevant features. Linear regression on polynomial terms of the features is also applied to infer numerical aesthetics ratings.

Abstract: The present invention relates to 4?-[(1R)-1-[[(6,7-dichloro-3-oxo-2,3-dihydro-4H-1,4-benzoxazin- 4-yl)acetyl](methyl)amino]-2-(4-morpholinyl)ethyl]-4-biphenylcarboxylic acid and its pharmaceutically acceptable salts, pharmaceutical compositions containing them, and their use as antagonists of urotensin II.

Abstract: A vehicle audio system 30 reconfigures with a PDAD 32 device by sending a series of queries through a supported channel, preferably a UART channel to the PDAD with the PDAD sending back requested control information 42 and meta-data housing information 46.

Abstract: Novel inhibitors of Rho-kinases are disclosed.

Abstract: The present invention relates to morpholinyl, and pyrrolidinyl analogs, pharmaceutical compositions containing them, and their use as antagonists of urotensin II.

Abstract: The present application describes lactam-containing cyclic diamines and derivatives thereof of Formula I: P4-M-M4I or pharmaceutically acceptable salt forms thereof, wherein M is a non-aromatic carbocycle or heterocycle. Compounds of the present invention are useful as inhibitors of trypsin-like serine proteases, specifically factor Xa.

Abstract: Pilot data and data-bearer data are formed to be mutually orthogonal and in each other's null-space. Data to be transmitted is first modulated with the data-bearer matrix and then pilot data is added thereto. The pilot data may be added to each modulated symbol, thereby increasing significantly the density of pilot information available at the receiver for channel state estimation. When pilot data is added across an entire transmitted block of data, data detection performance is improved for even fast fading Rayleigh fading channels.