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IJON
2007
93views more  IJON 2007»
15 years 7 months ago
Computing with active dendrites
This paper introduces a new model of a spiking neuron with active dendrites and dynamic synapses (ADDS). The neuron employs the dynamics of the synapses and the active properties ...
Christo Panchev
ECCV
2006
Springer
16 years 9 months ago
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
David J. Crandall, Daniel P. Huttenlocher
PAMI
2006
196views more  PAMI 2006»
15 years 7 months ago
Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes
Viewpoint independent recognition of free-form objects and their segmentation in the presence of clutter and occlusions is a challenging task. We present a novel 3D model-based alg...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens
ICML
2003
IEEE
16 years 8 months ago
Online Choice of Active Learning Algorithms
This paper is concerned with the question of how to online combine an ensemble of active learners so as to expedite the learning progress during a pool-based active learning sessi...
Yoram Baram, Ran El-Yaniv, Kobi Luz
CAV
2009
Springer
171views Hardware» more  CAV 2009»
16 years 8 months ago
CalFuzzer: An Extensible Active Testing Framework for Concurrent Programs
Active testing has recently been introduced to effectively test concurrent programs. Active testing works in two phases. It first uses predictive off-the-shelf static or dynamic pr...
Pallavi Joshi, Mayur Naik, Chang-Seo Park, Koushik...