Class membership probability estimates are important for many applications of data mining in which classification outputs are combined with other sources of information for decisi...
Abstract. Probably the most significant result concerning cut-free sequent calculus proofs in linear logic is the completeness of focused proofs. This completeness theorem has a n...
This paper presents an analytical approach to evaluate the expected complexity of a generalized sphere decoding (GSD) algorithm, GSDλ − , for underdetermined integer leastsquare...
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
In this paper, we propose novel blur and similarity transform (i.e. rotation, scaling and translation) invariant features for the recognition of objects in images. The features ar...