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MAM
2002
63views more  MAM 2002»
15 years 6 months ago
OPTS: increasing branch prediction accuracy under context switch
Accurate branch prediction is essential for obtaining high performance in pipelined superscalar processors. Though many dynamic branch predictors have been proposed to obtain high...
Moon-Sang Lee, Young-Jae Kang, Joonwon Lee, Seung ...
CVPR
2011
IEEE
15 years 2 months ago
Learning Context for Collective Activity Recognition
In this paper we present a framework for the recognition of collective human activities. A collective activity is defined or reinforced by the existence of coherent behavior of i...
Wongun Choi, Silvio Savarese, Khuram Shahid
JAISE
2010
182views Algorithms» more  JAISE 2010»
15 years 1 months ago
Exploring semantics in activity recognition using context lattices
Studying human activities has significant implication in human beneficial applications such as personal healthcare. This research has been facilitated by the development of sensor ...
Juan Ye, Simon Dobson
MUE
2007
IEEE
128views Multimedia» more  MUE 2007»
16 years 1 months ago
Designing, Developing, and Evaluating Context-Aware Systems
Context and context-awareness have been central issues in ubiquitous computing research for the last decade. Advances with regard to context acquisition and activity recognition a...
Yoosoo Oh, Albrecht Schmidt, Woontack Woo
ICOST
2007
Springer
16 years 1 months ago
A Context-Driven Programming Model for Pervasive Spaces
This paper defines a new, context-driven programming model for pervasive spaces. Existing models are prone to conflict, as it is hard to predict the outcome of interleaved actions ...
Hen-I Yang, Jeffrey King, Abdelsalam Helal, Erwin ...