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» Clarifying Goal Models
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RAS
2010
117views more  RAS 2010»
15 years 5 months ago
Extending BDI plan selection to incorporate learning from experience
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. We describe a novel BDI exe...
Dhirendra Singh, Sebastian Sardiña, Lin Pad...
CVPR
2011
IEEE
15 years 2 months ago
Combining Randomization and Discrimination for Fine-Grained Image Categorization
In this paper, we study the problem of fine-grained image categorization. The goal of our method is to explore fine image statistics and identify the discriminative image patche...
Bangpeng Yao, Aditya Khosla, Li Fei-Fei
CRV
2011
IEEE
340views Robotics» more  CRV 2011»
14 years 6 months ago
Combining Multi-robot Exploration and Rendezvous
—We consider the problem of exploring an unknown environment with a pair of mobile robots. The goal is to make the robots meet (or rendezvous) in minimum time such that there is ...
Malika Meghjani, Gregory Dudek
SODA
2003
ACM
157views Algorithms» more  SODA 2003»
15 years 8 months ago
Competitive queueing policies for QoS switches
We consider packet scheduling in a network providing differentiated services, where each packet is assigned a value. We study various queueing models for supporting QoS (Quality ...
Nir Andelman, Yishay Mansour, An Zhu
ICIP
2002
IEEE
16 years 8 months ago
Unsupervised image segmentation via Markov trees and complex wavelets
The goal in image segmentation is to label pixels in an image based on the properties of each pixel and its surrounding region. Recently Content-Based Image Retrieval (CBIR) has e...
Cián W. Shaffrey, Ian Jermyn, Nick G. Kings...