Search Results - "Taskar, B."

Controlling Complexity in Part-of-Speech Induction by Graca, J. V., Ganchev, K., Coheur, L., Pereira, F., Taskar, B.

“…We consider the problem of fully unsupervised learning of grammatical (part-of-speech) categories from unlabeled text. The standard maximum-likelihood hidden…”
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Generative-Discriminative Basis Learning for Medical Imaging by Batmanghelich, N. K., Taskar, B., Davatzikos, C.

“…This paper presents a novel dimensionality reduction method for classification in medical imaging. The goal is to transform very high-dimensional input…”
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Parsing human motion with stretchable models by Sapp, B., Weiss, D., Taskar, B.

“…We address the problem of articulated human pose estimation in videos using an ensemble of tractable models with rich appearance, shape, contour and motion…”
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Effect of waves on cavitation and pressure pulses by Taskar, Bhushan, Steen, Sverre, Bensow, Rickard E., Schröder, Björn

“…•KVLCC2 propeller has been analyzed in different wake distributions in presence of waves.•Effect of wake change, ship motions, RPM variation and speed loss has…”
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Rich probabilistic models for gene expression by Segal, Eran, Taskar, Ben, Gasch, Audrey, Friedman, Nir, Koller, Daphne

“…Clustering is commonly used for analyzing gene expression data. Despite their successes, clustering methods suffer from a number of limitations. First, these…”
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Discriminative learning of Markov random fields for segmentation of 3D scan data by Anguelov, D., Taskarf, B., Chatalbashev, V., Koller, D., Gupta, D., Heitz, G., Ng, A.

“…We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov random fields…”
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Talking pictures: Temporal grouping and dialog-supervised person recognition by Cour, T, Sapp, B, Nagle, A, Taskar, B

“…We address the character identification problem in movies and television videos: assigning names to faces on the screen. Most prior work on person recognition…”
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Disease classification and prediction via semi-supervised dimensionality reduction by Batmanghelich, K N, Ye, D H, Pohl, K M, Taskar, B, Davatzikos, C

“…We present a new semi-supervised algorithm for dimensionality reduction which exploits information of unlabeled data in order to improve the accuracy of…”
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Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields by Vernaza, P., Taskar, B., Lee, D.D.

“…The authors present a novel approach to the task of autonomous terrain classification based on structured prediction. We consider the problem of learning a…”
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