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JMLR
2006
116views more  JMLR 2006»
13 years 7 months ago
Step Size Adaptation in Reproducing Kernel Hilbert Space
This paper presents an online support vector machine (SVM) that uses the stochastic meta-descent (SMD) algorithm to adapt its step size automatically. We formulate the online lear...
S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex ...
CVPR
2009
IEEE
1119views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Adaptive Contour Features in Oriented Granular Space for Human Detection and Segmentation
In this paper, a novel feature named Adaptive Contour Feature (ACF) is proposed for human detection and segmentation. This feature consists of a chain of a number of granules in...
Wei Gao (Tsinghua University), Haizhou Ai (Tsinghu...
EMMCVPR
2009
Springer
14 years 2 months ago
Locally Parallel Textures Modeling with Adapted Hilbert Spaces
This article 3 presents a new adaptive texture model. Locally parallel oscillating patterns are modeled with a weighted Hilbert space defined over local Fourier coefficients. The ...
Pierre Maurel, Jean-François Aujol, Gabriel...
VTC
2007
IEEE
124views Communications» more  VTC 2007»
14 years 2 months ago
Near-Instantaneously Adaptive Cooperative Uplink Schemes Based on Space-Time Block Codes and V-Blast
- In this paper we propose two adaptive schemes for improving the achievable Bandwidth Efficiency (BE) of cooperative diversity aided wireless networks. These schemes are capable ...
Mohammed El-Hajjar, Salam A. Zummo, Lajos Hanzo
TACAS
2009
Springer
89views Algorithms» more  TACAS 2009»
14 years 2 months ago
Hierarchical Adaptive State Space Caching Based on Level Sampling
In the past, several attempts have been made to deal with the state space explosion problem by equipping a depth-first search (DFS) algorithm with a state cache, or by avoiding co...
Radu Mateescu, Anton Wijs