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MVA
2007
133views Computer Vision» more  MVA 2007»
14 years 11 months ago
Selection of Object Recognition Methods According to the Task and Object Category
Service robots need object recognition strategy that can work on various objects in complex backgrounds. Since no single method can work in every situation, we need to combine sev...
Al Mansur, Yoshinori Kuno
ICASSP
2010
IEEE
14 years 10 months ago
Summarization- and learning-based approaches to information distillation
Information distillation is the task that aims to extract relevant passages of text from massive volumes of textual and audio sources, given a query. In this paper, we investigate...
Boriska Toth, Dilek Hakkani-Tür, Sibel Yaman
SOSP
2009
ACM
15 years 6 months ago
The multikernel: a new OS architecture for scalable multicore systems
Commodity computer systems contain more and more processor cores and exhibit increasingly diverse architectural tradeoffs, including memory hierarchies, interconnects, instructio...
Andrew Baumann, Paul Barham, Pierre-Évarist...
JMM2
2006
111views more  JMM2 2006»
14 years 9 months ago
A Microscopic Telepathology System for Multiresolution Computer-Aided Diagnostics
The aim of the presented system is simplification and speedup of the daily pathological examination routine. The system combines telepathology with computer-aided diagnostics algor...
Grigory Begelman, Michael Pechuk, Ehud Rivlin, Edm...
ICRA
2010
IEEE
164views Robotics» more  ICRA 2010»
14 years 8 months ago
Boundary detection based on supervised learning
— Detecting the boundaries of objects is a key step in separating foreground objects from the background, which is useful for robotics and computer vision applications, such as o...
Kiho Kwak, Daniel F. Huber, Jeongsook Chae, Takeo ...