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NIPS
2008
13 years 11 months ago
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
NIPS
2008
13 years 11 months ago
Reducing statistical dependencies in natural signals using radial Gaussianization
We consider the problem of transforming a signal to a representation in which the components are statistically independent. When the signal is generated as a linear transformation...
Siwei Lyu, Eero P. Simoncelli
MVA
2007
137views Computer Vision» more  MVA 2007»
13 years 11 months ago
Fingerprint Core and Delta Detection by Candidate Analysis
This paper presents a new reliable detection of core and delta in fingerprints by candidate analysis. The line search based method, which is one of the reliable approaches to dete...
Tomohiko Ohtsuka, Daisuke Watanabe, Hiroyuki Aoki
NIPS
2007
13 years 11 months ago
Spatial Latent Dirichlet Allocation
In recent years, the language model Latent Dirichlet Allocation (LDA), which clusters co-occurring words into topics, has been widely applied in the computer vision field. Howeve...
Xiaogang Wang, Eric Grimson
ACSW
2004
13 years 11 months ago
Applying Online Gradient Descent Search to Genetic Programming for Object Recognition
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...
William D. Smart, Mengjie Zhang