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» Tuning experiments with an adaptive computational framework
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ICPR
2002
IEEE
14 years 8 months ago
A Bayesian Approach to Video Object Segmentation via Merging 3D Watershed Volumes
In this paper, we propose a Bayesian approach to video object segmentation. Our method consists of two stages. In the first stage, we partition the video data into a set of 3D wate...
Yi-Ping Hung, Yu-Pao Tsai, Chih-Chuan Lai
SASO
2008
IEEE
14 years 2 months ago
Pervasive Self-Learning with Multi-modal Distributed Sensors
Truly ubiquitous computing poses new and significant challenges. A huge number of heterogeneous devices will interact to perform complex distributed tasks. One of the key aspects...
Nicola Bicocchi, Marco Mamei, Andrea Prati, Rita C...
SAC
2004
ACM
14 years 1 months ago
Missing requirements and relationship discovery through proxy viewpoints model
This paper addresses the problem of “missing requirements” in software requirements specification (SRS) expressed in natural language. Due to rapid changes in technology and b...
Seok Won Lee, David C. Rine
CASES
2008
ACM
13 years 9 months ago
Execution context optimization for disk energy
Power, energy, and thermal concerns have constrained embedded systems designs. Computing capability and storage density have increased dramatically, enabling the emergence of hand...
Jerry Hom, Ulrich Kremer
BMVC
2010
13 years 5 months ago
Object Detection with Geometrical Context Feedback Loop
We propose a new coherent framework for joint object detection, 3D layout estimation, and object supporting region segmentation from a single image. Our approach is based on the m...
Min Sun, Yingze Bao, Silvio Savarese