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NIPS
2008
15 years 4 months ago
An interior-point stochastic approximation method and an L1-regularized delta rule
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Peter Carbonetto, Mark Schmidt, Nando de Freitas
134
Voted
VMV
2008
170views Visualization» more  VMV 2008»
15 years 4 months ago
Robust contour-based object tracking integrating color and edge likelihoods
We present in this paper a novel object tracking system based on 3D contour models. For this purpose, we integrate two complimentary likelihoods, defined on local color statistics...
Giorgio Panin, Erwin Roth, Alois Knoll
WCET
2008
15 years 4 months ago
Towards a Common WCET Annotation Language: Essential Ingredients
Within the last years, ambitions towards the definition of common interfaces and the development of open frameworks have increased the efficiency of research on WCET analysis. The...
Raimund Kirner, Albrecht Kadlec, Adrian Prantl, Ma...
CLIN
2004
15 years 4 months ago
Automatic Summarization of Meeting Data: A Feasibility Study
The disclosure of audio-visual meeting recordings is a new challenging domain studied by several large scale research projects in Europe and the US. Automatic meeting summarizatio...
Anne Hendrik Buist, Wessel Kraaij, Stephan Raaijma...
FLAIRS
2004
15 years 4 months ago
Developing Task Specific Sensing Strategies Using Reinforcement Learning
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
Srividhya Rajendran, Manfred Huber