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115
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NIPS
2001
15 years 3 months ago
Categorization by Learning and Combining Object Parts
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...
143
Voted
NIPS
2000
15 years 3 months ago
Learning Switching Linear Models of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. Effective models of human dynamics can be learned from motion capture data usi...
Vladimir Pavlovic, James M. Rehg, John MacCormick
147
Voted
IJRR
2000
137views more  IJRR 2000»
15 years 2 months ago
Technology and Field Demonstration of Robotic Search for Antarctic Meteorites
: Meteorites are the only significant source of material from other planets and asteroids, and therefore are of immense scientific value. Antarctica's frozen and pristine envi...
Dimitrios Apostolopoulos, Michael D. Wagner, Benja...
201
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ICIP
2010
IEEE
15 years 5 days ago
Building Emerging Pattern (EP) Random forest for recognition
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
Liang Wang, Yizhou Wang, Debin Zhao
166
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ICRA
2009
IEEE
226views Robotics» more  ICRA 2009»
14 years 12 months ago
3D model selection from an internet database for robotic vision
Abstract-- We propose a new method for automatically accessing an internet database of 3D models that are searchable only by their user-annotated labels, for using them for vision ...
Ulrich Klank, Muhammad Zeeshan Zia, Michael Beetz