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» A Framework for Exploring Optimization Properties
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JVCA
2010
75views more  JVCA 2010»
13 years 7 months ago
Image-based detail reconstruction of non-Lambertian surfaces
This paper presents a novel optimization framework for estimating the static or dynamic surfaces with details. The proposed method uses dense depths from a structuredlight system ...
I-Chen Lin, Wen-Hsing Chang, Yung-Sheng Lo, Jen-Yu...
JMLR
2010
121views more  JMLR 2010»
13 years 3 months ago
Sparse Semi-supervised Learning Using Conjugate Functions
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
Shiliang Sun, John Shawe-Taylor
FPL
2003
Springer
95views Hardware» more  FPL 2003»
14 years 2 months ago
A Model for Hardware Realization of Kernel Loops
Abstract. Hardware realization of kernel loops holds the promise of accelerating the overall application performance and is therefore an important part of the synthesis process. In...
Jirong Liao, Weng-Fai Wong, Tulika Mitra
ICML
2006
IEEE
14 years 9 months ago
Qualitative reinforcement learning
When the transition probabilities and rewards of a Markov Decision Process are specified exactly, the problem can be solved without any interaction with the environment. When no s...
Arkady Epshteyn, Gerald DeJong
CODES
2004
IEEE
14 years 17 days ago
Multi-objective mapping for mesh-based NoC architectures
In this paper we present an approach to multi-objective exploration of the mapping space of a mesh-based network-on-chip architecture. Based on evolutionary computing techniques, ...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi