Abstract— Substantial attention is being paid to the fault diagnosis problem in recent test literature. Yet, the compaction of test vectors for fault diagnosis is little explored...
Yoshinobu Higami, Kewal K. Saluja, Hiroshi Takahas...
A distance oracle is a compact representation of the shortest distance matrix of a graph. It can be queried to retrieve approximate distances and corresponding paths between any p...
We present a new color image compression algorithm for RGB images. In our previous work [6], we presented a machine learning technique to derive a dictionary of orthonormal basis ...
A two-class imbalanced data problem (IDP) emerges when the data from majority class are compactly clustered and the data from minority class are scattered. Though a discriminative...
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...