2865 search results - page 277 / 573 » Learning Models for Object Recognition |
153
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
120
Voted
ACL
1998
15 years 4 months ago
1998
Language modeling is to associate a sequence of words with a priori probability, which is a key part of many natural language applications such as speech recognition and statistic...
152
Voted
ECCV
2004
Springer
16 years 5 months ago
2004
Springer
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 ...
100
Voted
ICAPR
2005
Springer
15 years 9 months ago
2005
Springer
A non-dominated sorting genetic algorithm is used to evolve models of learning from different theories for multiple tasks. Correlation analysis is performed to identify parameters...
134
Voted
ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
We propose the use of 3D (2D+time) Shape Context to recognize the spatial and temporal details inherent in human actions. We represent an action in a video sequence by a 3D point ...