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» On Estimating Mutual Information for Feature Selection
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EMNLP
2009
15 years 3 months ago
Reverse Engineering of Tree Kernel Feature Spaces
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Daniele Pighin, Alessandro Moschitti
ICMCS
2007
IEEE
134views Multimedia» more  ICMCS 2007»
16 years 10 days ago
Identifying Source Cell Phone using Chromatic Aberration
Chromatic aberration is the phenomenon where lights of different wavelengths fail to converge at the same position on the focal plane. There are two kinds of chromatic aberration:...
Tran Van Lanh, Sabu Emmanuel, Mohan S. Kankanhalli
NECO
2011
15 years 29 days ago
Least-Squares Independent Component Analysis
Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...
Taiji Suzuki, Masashi Sugiyama
ISVC
2007
Springer
16 years 5 days ago
Feature-Adaptive Motion Energy Analysis for Facial Expression Recognition
In this paper, we present a facial expression recognition method using feature-adaptive motion energy analysis. Our method is simplicityoriented and avoids complicated face model r...
Sungkyu Noh, Hanhoon Park, Yoonjong Jin, Jong-Il P...
ICANN
2009
Springer
16 years 18 days ago
Modelling Image Complexity by Independent Component Analysis, with Application to Content-Based Image Retrieval
Abstract. Estimating the degree of similarity between images is a challenging task as the similarity always depends on the context. Because of this context dependency, it seems qui...
Jukka Perkiö, Aapo Hyvärinen