This paper proposes a method for computing fast approximations to support vector decision functions in the field of object detection. In the present approach we are building on an...
This paper presents a novel, promising approach that allows greedy decision tree induction algorithms to handle problematic functions such as parity functions. Lookahead is the st...
This paper presents a method for parsing associative Lambek grammars based on graphtheoretic properties. Connection graphs, which are a simplified version of proof-nets, are actua...
Automatic digital signal type identification (ADSTI) is an important topic for both military and civilian communication applications. Most of proposed techniques (identifiers) can...
The complexity of sphere decoding (SD) has been widely studied due to the importance of this algorithm in obtaining the optimal Maximum Likelihood (ML) performance with lower compl...