In this paper, we develop new heuristic procedures for the maximum diversity problem (MDP). This NPhard problem has a significant number of practical applications such as environm...
The nearest neighbor (NN) classifier is well suited for generic object recognition. However, it requires storing the complete training data, and classification time is linear in ...
Ferid Bajramovic, Frank Mattern, Nicholas Butko, J...
: The coding gain of the H.264/AVC video encoder mainly comes from the new incorporated prediction tools. However, their enormous computation and ultrahigh memory bandwidth are the...
In this paper, we introduce a Hybrid Hidden Markov Model (HMM) face recognition system. The proposed system contains a low-complexity 2-D HMM-based face recognition (LC 2D-HMM FR)...
Bounded Model Checking (BMC) searches for counterexamples to a property with a bounded length k. If no such counterexample is found, k is increased. This process terminates when ...