The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
In this paper, we propose a machine learning approach to title extraction from general documents. By general documents, we mean documents that can belong to any one of a number of...
Yunhua Hu, Hang Li, Yunbo Cao, Dmitriy Meyerzon, Q...
We present a new test resource partitioning (TRP) technique for reduced pin-count testing of system-on-a-chip (SOC). The proposed technique is based on test data compression and o...
Code generation for embedded processors creates opportunities for several performance optimizations not applicable for traditional compilers. We present techniques for improving d...
Preeti Ranjan Panda, Nikil D. Dutt, Alexandru Nico...
This paper takes a renewed look at the problem of managing intermediate data that is generated during dataflow computations (e.g., MapReduce, Pig, Dryad, etc.) within clouds. We d...
Steven Y. Ko, Imranul Hoque, Brian Cho, Indranil G...