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NN
2006
Springer
114views Neural Networks» more  NN 2006»
15 years 4 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
136
Voted
ISM
2008
IEEE
136views Multimedia» more  ISM 2008»
15 years 11 months ago
Multimodal Speaker Segmentation in Presence of Overlapped Speech Segments
We propose a multimodal speaker segmentation algorithm with two main contributions: First, we suggest a hidden Markov model architecture that performs fusion of the three modaliti...
Viktor Rozgic, Kyu Jeong Han, Panayiotis G. Georgi...
144
Voted
RSS
2007
173views Robotics» more  RSS 2007»
15 years 6 months ago
Mapping Large Loops with a Single Hand-Held Camera
— This paper presents a method for Simultaneous Localization and Mapping (SLAM), relying on a monocular camera as the only sensor, which is able to build outdoor, closed-loop map...
Laura A. Clemente, Andrew J. Davison, Ian D. Reid,...
145
Voted
BMVC
2010
15 years 2 months ago
Implicit Shape Kernel for Discriminative Learning of the Hough Transform Detector
The Hough transform provides an efficient way to detect objects. Various methods have been proposed to achieve discriminative learning of the Hough transform, but they have usuall...
Yimeng Zhang, Tsuhan Chen
BMVC
2002
15 years 7 months ago
Invariant Features from Interest Point Groups
This paper approaches the problem of finding correspondences between images in which there are large changes in viewpoint, scale and illumination. Recent work has shown that scale...
Matthew Brown, David G. Lowe