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» Using a Non-prior Training Active Feature Model
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NIPS
2001
15 years 5 months ago
Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex
Statistical learning and probabilistic inference techniques are used to infer the hand position of a subject from multi-electrode recordings of neural activity in motor cortex. Fi...
Yun Gao, Michael J. Black, Elie Bienenstock, Shy S...
EMMCVPR
2009
Springer
15 years 9 months ago
A Local Normal-Based Region Term for Active Contours
Global region-based active contours, like the Chan-Vese model, often make strong assumptions on the intensity distributions of the searched object and background, preventing their ...
Julien Mille, Laurent D. Cohen
TASLP
2008
108views more  TASLP 2008»
15 years 4 months ago
An Online Relevant Set Algorithm for Statistical Machine Translation
This paper presents a novel online relevant set algorithm for a linearly-scored block sequence translation model. The key component is a new procedure to directly optimize the glob...
Christoph Tillmann, Tong Zhang
ICPR
2002
IEEE
16 years 5 months ago
Real Time 3D Face Pose Discrimination Based On Active IR Illumination
ct expressions, and different head orientations. In this paper, we introduce a new approach for realtime 3D face pose discrimination based on active IR illumination from a monocula...
Qiang Ji, Xiaojie Yang
SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
13 years 6 months ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman