The focus of this work is on the problem of feature selection and classification for on-road vehicle detection. In particular, we propose using quantized Haar wavelet features an...
Due to the lack of annotated data sets, there are few studies on machine learning based approaches to extract named entities (NEs) in clinical text. The 2009 i2b2 NLP challenge is...
—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...
Multimedia vector instruction sets are becoming ubiquitous in most of the embedded systems used for multimedia, networking and communications. However, current compiler technology...
An effort to formalize the process of software pipelining loops with conditions is presented in this paper. A formal framework for scheduling such loops, based on representing set...