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» Extracting general-purpose features from LIDAR data
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ICASSP
2011
IEEE
14 years 7 months ago
Well-calibrated heavy tailed Bayesian speaker verification for microphone speech
The work presented in this paper is an extension of our two previous works [1, 2]. In the first paper [1], we proposed a low dimensional feature (i-vectors) extractor which is su...
Mohammed Senoussaoui, Patrick Kenny, Pierre Dumouc...
PAMI
2007
152views more  PAMI 2007»
15 years 3 months ago
DCT-Based Iris Recognition
—This paper presents a novel iris coding method based on differences of discrete cosine transform (DCT) coefficients of overlapped angular patches from normalized iris images. Th...
Donald M. Monro, Soumyadip Rakshit, Dexin Zhang
ICONIP
2007
15 years 5 months ago
Using Image Stimuli to Drive fMRI Analysis
We introduce a new unsupervised fMRI analysis method based on Kernel Canonical Correlation Analysis which differs from the class of supervised learning methods that are increasing...
David R. Hardoon, Janaina Mourão Miranda, M...
151
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ICMCS
2006
IEEE
177views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Mixed Type Audio Classification with Support Vector Machine
Content-based classification of audio data is an important problem for various applications such as overall analysis of audio-visual streams, boundary detection of video story se...
Lei Chen 0002, Sule Gündüz, M. Tamer &Ou...
PCM
2009
Springer
198views Multimedia» more  PCM 2009»
15 years 10 months ago
Concept-Specific Visual Vocabulary Construction for Object Categorization
Recently, the bag-of-words (BOW) based image representation is getting popular in object categorization. However, there is no available visual vocabulary and it has to be learned. ...
Chunjie Zhang, Jing Liu, Yi Ouyang, Hanqing Lu, So...