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» Objective reduction using a feature selection technique
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ACCV
2007
Springer
15 years 7 months ago
A Cascade of Feed-Forward Classifiers for Fast Pedestrian Detection
We develop a method that can detect humans in a single image based on a new cascaded structure. In our approach, both the rectangle features and 1-D edge-orientation features are e...
Yu-Ting Chen, Chu-Song Chen
134
Voted
NIPS
2001
15 years 4 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona
152
Voted
ECCV
2004
Springer
16 years 5 months ago
Towards Intelligent Mission Profiles of Micro Air Vehicles: Multiscale Viterbi Classification
In this paper, we present a vision system for object recognition in aerial images, which enables broader mission profiles for Micro Air Vehicles (MAVs). The most important factors ...
Sinisa Todorovic, Michael C. Nechyba
102
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Sound morphing by feature interpolation
The goal of sound morphing by feature interpolation is to obtain sounds whose values of features are intermediate between those of the source and target sounds. In order to do thi...
Marcelo F. Caetano, Xavier Rodet
141
Voted
ENTCS
2008
140views more  ENTCS 2008»
15 years 3 months ago
Linking Event-B and Concurrent Object-Oriented Programs
The Event-B method is a formal approach to modelling systems, using refinement. Initial specification is a high level of abstraction; detail is added in refinement steps as the de...
Andrew Edmunds, Michael Butler