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» Image processing and data analysis: The multiscale approach
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147
Voted
ISCAS
2006
IEEE
122views Hardware» more  ISCAS 2006»
15 years 10 months ago
256-channel integrated neural interface and spatio-temporal signal processor
Abstract- We present an architecture and VLSI implemen- Various strategies in the analysis of spatio-temporal dynamtation of a distributed neural interface and spatio-temporal ics ...
J. N. Y. Aziz, Roman Genov, B. R. Bardakjian, M. D...
ICASSP
2011
IEEE
14 years 8 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...
158
Voted
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 9 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
126
Voted
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
16 years 5 months ago
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
Stephen D. Bay, Mark Schwabacher
KDD
2003
ACM
160views Data Mining» more  KDD 2003»
16 years 5 months ago
Playing hide-and-seek with correlations
We present a method for very high-dimensional correlation analysis. The method relies equally on rigorous search strategies and on human interaction. At each step, the method cons...
Chris Jermaine