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BC
2002
85views more  BC 2002»
13 years 4 months ago
Invariant recognition of feature combinations in the visual system
The operation of a hierarchical competitive network model (VisNet) of invariance learning in the visual system is investigated to determine how this class of architecture can solve...
Martin C. M. Elliffe, Edmund T. Rolls, Simon M. St...
ACCV
2006
Springer
13 years 11 months ago
Biologically Motivated Perceptual Feature: Generalized Robust Invariant Feature
Abstract. In this paper, we present a new, biologically inspired perceptual feature to solve the selectivity and invariance issue in object recognition. Based on the recent findin...
Sungho Kim, In-So Kweon
PR
2008
173views more  PR 2008»
13 years 4 months ago
Object recognition using a generalized robust invariant feature and Gestalt's law of proximity and similarity
In this paper, we propose a new context-based method for object recognition. We first introduce a neuro-physiologically motivated visual part detector. We found that the optimal f...
Sungho Kim, Kuk-Jin Yoon, In-So Kweon
INTERSPEECH
2010
12 years 11 months ago
Invariant integration features combined with speaker-adaptation methods
Speaker-normalization and -adaptation methods are essential components of state-of-the-art speech recognition systems nowadays. Recently, so-called invariant integration features ...
Florian Müller, Alfred Mertins
PR
2008
178views more  PR 2008»
13 years 3 months ago
An effective and fast iris recognition system based on a combined multiscale feature extraction technique
The randomness of iris pattern makes it one of the most reliable biometric traits. On the other hand, the complex iris image structure and the various sources of intra-class varia...
Makram Nabti, Ahmed Bouridane