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COGSCI
2002
99views more  COGSCI 2002»
13 years 8 months ago
Learning words from sights and sounds: a computational model
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
Deb Roy, Alex Pentland
ICCV
2003
IEEE
14 years 11 months ago
Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter
The algorithm presented in this paper aims to segment the foreground objects in video (e.g., people) given timevarying, textured backgrounds. Examples of time-varying backgrounds ...
Jing Zhong, Stan Sclaroff
ECCV
2006
Springer
14 years 11 months ago
Machine Learning for High-Speed Corner Detection
Abstract Where feature points are used in real-time frame-rate applications, a high-speed feature detector is necessary. Feature detectors such as SIFT (DoG), Harris and SUSAN are ...
Edward Rosten, Tom Drummond
VIS
2004
IEEE
137views Visualization» more  VIS 2004»
14 years 10 months ago
Generating Realistic Images from Hydrothermal Plume Data
Most data used in the study of seafloor hydrothermal plumes consists of sonar (acoustic) scans and sensor readings. Visual data captures only a portion of the sonar data range due...
Deborah Silver, Jamshed Dastur, Karen G. Bemis, Kr...
IROS
2009
IEEE
139views Robotics» more  IROS 2009»
14 years 3 months ago
Improving robot navigation in structured outdoor environments by identifying vegetation from laser data
— This paper addresses the problem of vegetation detection from laser measurements. The ability to detect vegetation is important for robots operating outdoors, since it enables ...
Kai M. Wurm, Rainer Kümmerle, Cyrill Stachnis...