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ICML
2007
IEEE
16 years 7 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
SIGMOD
2009
ACM
189views Database» more  SIGMOD 2009»
16 years 6 months ago
Query segmentation using conditional random fields
A growing mount of available text data are being stored in relational databases, giving rise to an increasing need for the RDBMSs to support effective text retrieval. In this pape...
Xiaohui Yu, Huxia Shi
CVPR
2010
IEEE
16 years 1 months ago
Heterogeneous Conditional Random Field: Realizing Joint Detection and Segmentation of Cell Regions in Microscopic Images
Detecting and segmenting cell regions in microscopic images is a challenging task, because cells typically do not have rich features, and their shapes and appearances are highly i...
Jiyan Pan, Takeo Kanade
PLDI
2009
ACM
16 years 1 months ago
A randomized dynamic program analysis technique for detecting real deadlocks
We present a novel dynamic analysis technique that finds real deadlocks in multi-threaded programs. Our technique runs in two stages. In the first stage, we use an imprecise dyn...
Pallavi Joshi, Chang-Seo Park, Koushik Sen, Mayur ...
GLOBECOM
2009
IEEE
16 years 1 months ago
Randomized Multi-Channel Interrogation Algorithm for Large-Scale RFID Systems
— A radio frequency identification (RFID) system consists of a set of readers and several objects, equipped with small computer chips, called tags. In a dense RFID system, where...
Amir Hamed Mohsenian Rad, Vahid Shah-Mansouri, Vin...