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104
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TIP
2008
169views more  TIP 2008»
14 years 10 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
93
Voted
IVC
2007
131views more  IVC 2007»
14 years 10 months ago
Multi-view correspondence by enforcement of rigidity constraints
Establishing the correct correspondence between features in an image set remains a challenging problem amongst computer vision researchers. In fact, the combinatorial nature of fe...
Ricardo Oliveira, João Xavier, João ...
IVS
2007
110views more  IVS 2007»
14 years 10 months ago
An automated approach for the optimization of pixel-based visualizations
During the last two decades, a wide variety of advanced methods for the visual exploration of large data sets have been proposed. For most of these techniques user interaction has...
Jörn Schneidewind, Mike Sips, Daniel A. Keim
BMCBI
2005
150views more  BMCBI 2005»
14 years 10 months ago
Discover protein sequence signatures from protein-protein interaction data
Background: The development of high-throughput technologies such as yeast two-hybrid systems and mass spectrometry technologies has made it possible to generate large protein-prot...
Jianwen Fang, Ryan J. Haasl, Yinghua Dong, Gerald ...
95
Voted
BMCBI
2005
98views more  BMCBI 2005»
14 years 10 months ago
Iterative approach to model identification of biological networks
Background: Recent advances in molecular biology techniques provide an opportunity for developing detailed mathematical models of biological processes. An iterative scheme is intr...
Kapil G. Gadkar, Rudiyanto Gunawan, Francis J. Doy...
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