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» Extracting general-purpose features from LIDAR data
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IROS
2008
IEEE
138views Robotics» more  IROS 2008»
15 years 10 months ago
Deep belief net learning in a long-range vision system for autonomous off-road driving
Abstract— We present a learning-based approach for longrange vision that is able to accurately classify complex terrain at distances up to the horizon, thus allowing high-level s...
Raia Hadsell, Ayse Erkan, Pierre Sermanet, Marco S...
SAMT
2007
Springer
211views Multimedia» more  SAMT 2007»
15 years 10 months ago
An Architecture for Mining Resources Complementary to Audio-Visual Streams
Abstract. In this paper we attempt to characterize resources of information complementary to audio-visual (A/V) streams and propose their usage for enriching A/V data with semantic...
Jan Nemrava, Paul Buitelaar, Thierry Declerck, Voj...
ISMDA
2004
Springer
15 years 9 months ago
Thermal Medical Image Retrieval by Moment Invariants
Thermal medical imaging provides a valuable method for detecting various diseases such as breast cancer or Raynaud’s syndrome. While previous efforts on the automated processing...
Shao Ying Zhu, Gerald Schaefer
SIGIR
2010
ACM
15 years 8 months ago
Short text classification in twitter to improve information filtering
In microblogging services such as Twitter, the users may become overwhelmed by the raw data. One solution to this problem is the classification of short text messages. As short te...
Bharath Sriram, Dave Fuhry, Engin Demir, Hakan Fer...
AAAI
1998
15 years 5 months ago
Knowledge Lean Word-Sense Disambiguation
We present a corpus{based approach to word{sense disambiguation that only requires information that can be automatically extracted from untagged text. We use unsupervised techniqu...
Ted Pedersen, Rebecca F. Bruce