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NIPS
2004
15 years 8 months ago
Semi-supervised Learning via Gaussian Processes
We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...
Neil D. Lawrence, Michael I. Jordan
NIPS
2004
15 years 8 months ago
Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation
Bayesian Regularization and Nonnegative Deconvolution (BRAND) is proposed for estimating time delays of acoustic signals in reverberant environments. Sparsity of the nonnegative f...
Yuanqing Lin, Daniel D. Lee
NIPS
2003
15 years 8 months ago
Minimising Contrastive Divergence in Noisy, Mixed-mode VLSI Neurons
This paper presents VLSI circuits with continuous-valued probabilistic behaviour realized by injecting noise into each computing unit(neuron). Interconnecting the noisy neurons fo...
Hsin Chen, Patrice Fleury, Alan F. Murray
MVA
2000
139views Computer Vision» more  MVA 2000»
15 years 8 months ago
Object Search Using Orientation Code Matching
A new method for object search is proposed. The proposed scheme is based on matching gradient information around each pixel, computed in the form of orientation codes, rather than...
Farhan Ullah, Shun'ichi Kaneko, Satoru Igarashi
CORR
2006
Springer
125views Education» more  CORR 2006»
15 years 6 months ago
10^(10^6) Worlds and Beyond: Efficient Representation and Processing of Incomplete Information
We present a decomposition-based approach to managing probabilistic information. We introduce world-set decompositions (WSDs), a space-efficient and complete representation system ...
Lyublena Antova, Christoph Koch, Dan Olteanu