Problem of segmenting individual humans in crowded situations from stationary video camera sequences is exacerbated by object inter-occlusion. We pose this problem as a “model-b...
This paper describes a new design methodology to analyze the on-chip power supply noise for high performance microprocessors. Based on an integrated package-level and chip-level p...
Cost-sensitive decision tree and cost-sensitive naïve Bayes are both new cost-sensitive learning models proposed recently to minimize the total cost of test and misclassifications...
High-level synthesis (HLS) requires more designer interaction to better meet the needs of experienced designers. However, attempts to create a highly interactive synthesis process...
The Vicinal Risk Minimization principle establishes a bridge between generative models and methods derived from the Structural Risk Minimization Principle such as Support Vector M...