—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
Abstract— This paper considers designing in the minimax sense complementary low-pass/high-pass approximately linear-phase recursive filters with variable magnitude characteristi...
VLIW and EDGE (Explicit Data Graph Execution) architectures rely on compilers to form high-quality hyperblocks for good performance. These compilers typically perform hyperblock f...
Bertrand A. Maher, Aaron Smith, Doug Burger, Kathr...