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TIP
2008
169views more  TIP 2008»
15 years 6 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
BMCBI
2005
97views more  BMCBI 2005»
15 years 6 months ago
Comparative mapping of sequence-based and structure-based protein domains
Background: Protein domains have long been an ill-defined concept in biology. They are generally described as autonomous folding units with evolutionary and functional independenc...
Ya Zhang, John-Marc Chandonia, Chris H. Q. Ding, S...
BMCBI
2004
252views more  BMCBI 2004»
15 years 6 months ago
Applying Support Vector Machines for Gene ontology based gene function prediction
Background: The current progress in sequencing projects calls for rapid, reliable and accurate function assignments of gene products. A variety of methods has been designed to ann...
Arunachalam Vinayagam, Rainer König, Jutta Mo...
BMCBI
2004
153views more  BMCBI 2004»
15 years 6 months ago
Computational protein biomarker prediction: a case study for prostate cancer
Background: Recent technological advances in mass spectrometry pose challenges in computational mathematics and statistics to process the mass spectral data into predictive models...
Michael Wagner, Dayanand N. Naik, Alex Pothen, Sri...
IVC
2002
143views more  IVC 2002»
15 years 5 months ago
Towards the automatic analysis of complex human body motions
The classification of human body motion is an integral component for the automatic interpretation of video sequences. In a first part we present an effective approach that uses mi...
Jens Rittscher, Andrew Blake, Stephen J. Roberts