Abstract: A method and apparatus are provided for organizing media objects in a database using contextual information for a media object and known media objects, categories, indexes and searches, to arrive at an inference for cataloging the media object in a database. The media object may then be cataloged in the database according to the inference. A method and apparatus are provided for clustering media objects by forming groups of unlabeled data and applying a distance metric to said group.

Abstract: A probability distribution for speech model parameters, such as auto-regression parameters, is used to identify a distribution of denoised values from a noisy signal. Under one embodiment, the probability distributions of the speech model parameters and the denoised values are adjusted to improve a variational inference so that the variational inference better approximates the joint probability of the speech model parameters and the denoised values given a noisy signal. In some embodiments, this improvement is performed during an expectation step in an expectation-maximization algorithm. The statistical model can also be used to identify an average spectrum for the clean signal and this average spectrum may be provided to a speech recognizer instead of the estimate of the clean signal.

Abstract: A probability distribution for speech model parameters, such as auto-regression parameters, is used to identify a distribution of denoised values from a noisy signal. Under one embodiment, the probability distributions of the speech model parameters and the denoised values are adjusted to improve a variational inference so that the variational inference better approximates the joint probability of the speech model parameters and the denoised values given a noisy signal. In some embodiments, this improvement is performed during an expectation step in an expectation-maximization algorithm. The statistical model can also be used to identify an average spectrum for the clean signal and this average spectrum may be provided to a speech recognizer instead of the estimate of the clean signal.

Abstract: A method and apparatus are provided for organizing media objects in a database using contextual information for a media object and known media objects, categories, indexes and searches, to arrive at an inference for cataloging the media object in a database. The media object may then be cataloged in the database according to the inference. A method and apparatus are provided for clustering media objects by forming groups of unlabeled data and applying a distance metric to said group.

Abstract: Solving a quadratic programming problem involved in training support vector machines by sweeping through a set of training examples, solving small sub-problems of the quadratic programming problem. Each of these sub-problems has an analytic solution, which is faster that the numerical quadratic programming solutions used in the prior art. In one embodiment, training examples with non-optimal Lagrange multipliers are adjusted, one at a time, until all are optimal (e.g. until all examples fulfill the Kuhn-Tucker conditions). In another embodiment, training examples with non-optimal Lagrange multipliers are paired and then adjusted, until all are optimal.

Abstract: A text classifier and building the text classifier by determining appropriate parameters for the text classifier.