START SPEEDUP FACTOR [C] FASTER BACKWARDS REPLAY VIA TIME COMPRESSION JUMP WIDTH s j SEGMENT LENGTH s l FASTER BACKWARDS REPLAY VIA SEGMENT DROPPING MODIFIED BACKWARDS REPLAY [B] ...
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
Chengcui Zhang, Xin Chen, Min Chen, Shu-Ching Chen...
Decision-theoretic optimization is becoming a popular tool in the user interface community, but creating accurate cost (or utility) functions has become a bottleneck — in most c...
Large latencies over WAN will remain an obstacle to running communication intensive parallel applications on Grid environments. This paper takes one of such applications, Gaussian...
Current algorithms for bounded model checking (BMC) use SAT methods for checking satisfiability of Boolean formulas. These BMC methods suffer from a potential memory explosion prob...