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ICML
2009
IEEE
16 years 1 months ago
Sparse higher order conditional random fields for improved sequence labeling
In real sequence labeling tasks, statistics of many higher order features are not sufficient due to the training data sparseness, very few of them are useful. We describe Sparse H...
Xian Qian, Xiaoqian Jiang, Qi Zhang, Xuanjing Huan...
PREMI
2009
Springer
16 years 1 months ago
Unsupervised Color Image Segmentation Using Compound Markov Random Field Model
Abstract. In this paper, we propose an unsupervised color image segmentation scheme using homotopy continuation method and Compound Markov Random Field (CMRF) model. The proposed s...
Sucheta Panda, P. K. Nanda
ISLPED
2009
ACM
100views Hardware» more  ISLPED 2009»
16 years 1 months ago
Tuning-friendly body bias clustering for compensating random variability in subthreshold circuits
Post-fabrication tuning for mitigating manufacturing variability is receiving a significant attention. To reduce leakage increase involved in performance compensation by body bia...
Koichi Hamamoto, Masanori Hashimoto, Yukio Mitsuya...
SIGIR
2009
ACM
16 years 1 months ago
An improved markov random field model for supporting verbose queries
Recent work in supervised learning of term-based retrieval models has shown significantly improved accuracy can often be achieved via better model estimation [2, 10, 11, 17]. In ...
Matthew Lease
GLOBECOM
2008
IEEE
16 years 1 months ago
Throughput Analysis of Randomized Sleep Scheduling with Constrained Connectivity in Wireless Sensor Networks
Abstract—In this paper, we investigate and analyze the expected per-node throughput in a wireless sensor network under a randomized sleep scheduling framework with a connectivity...
Youngsang Kim, Changwoo Yang, Chun-Hung Liu