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ICRA
2009
IEEE
122views Robotics» more  ICRA 2009»
15 years 4 months ago
Probabilistic search optimization and mission assignment for heterogeneous autonomous agents
— This paper presents an algorithmic framework for conducting search and identification missions using multiple heterogeneous agents. Dynamic objects of type “neutral” or ...
Timothy H. Chung, Moshe Kress, Johannes O. Royset
APIN
2007
172views more  APIN 2007»
14 years 10 months ago
A genetically optimized level set approach to segmentation of thyroid ultrasound images
This paper presents a novel framework for thyroid ultrasound image segmentation that aims to accurately delineate thyroid nodules. This framework, named GA-VBAC incorporates a leve...
Dimitrios K. Iakovidis, Michalis A. Savelonas, Sta...
MM
2004
ACM
124views Multimedia» more  MM 2004»
15 years 3 months ago
An online-optimized incremental learning framework for video semantic classification
This paper considers the problems of feature variation and concept uncertainty in typical learning-based video semantic classification schemes. We proposed a new online semantic c...
Jun Wu, Xian-Sheng Hua, HongJiang Zhang, Bo Zhang
ERSA
2008
185views Hardware» more  ERSA 2008»
14 years 11 months ago
Design Framework for Partial Run-Time FPGA Reconfiguration
Partial reconfiguration (PR) reveals many opportunities for integration into FPGA design for potential system optimizations such as reduced area, increased performance, and increa...
Chris Conger, Ann Gordon-Ross, Alan D. George
ECCV
1998
Springer
15 years 12 months ago
A Two-Stage Probabilistic Approach for Object Recognition
Assume that some objects are present in an image but can be seen only partially and are overlapping each other. To recognize the objects, we have to rstly separate the objects from...
Stan Z. Li, Joachim Hornegger