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» Geo-located image analysis using latent representations
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NIPS
2007
13 years 8 months ago
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
Maximum entropy analysis of binary variables provides an elegant way for studying the role of pairwise correlations in neural populations. Unfortunately, these approaches suffer f...
Matthias Bethge, Philipp Berens
PR
2002
140views more  PR 2002»
13 years 7 months ago
Negotiating the semantic gap: from feature maps to semantic landscapes
In this paper, we present the results of a project that seeks to transform low-level features to a higher level of meaning. This project concerns a technique, latent semantic inde...
Rong Zhao, William I. Grosky
SSIAI
2000
IEEE
13 years 11 months ago
On the Representation of Wideband Images Using Permutations for Lossless Coding
We introduce a novel method for representing and coding wideband signals using permutations. The signal samples are first sorted, and then encoded using Differential Pulse Coding...
Marios S. Pattichis, Alan C. Bovik, John W. Havlic...
CVPR
2010
IEEE
13 years 7 months ago
Sparse representation using nonnegative curds and whey
It has been of great interest to find sparse and/or nonnegative representations in computer vision literature. In this paper we propose a novel method to such a purpose and refer...
Yanan Liu, Fei Wu, Zhihua Zhang, Yueting Zhuang, S...
ECCV
2010
Springer
13 years 8 months ago
Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...
Christoph H. Lampert, Oliver Krömer