This paper presents a novel discriminative feature transformation, named full-rank generalized likelihood ratio discriminant analysis (fGLRDA), on the grounds of the likelihood ra...
In real-world applications, “what you saw” during training is often not “what you get” during deployment: the distribution and even the type and dimensionality of features...
We present a discriminative Hough transform based ob-
ject detector where each local part casts a weighted vote for
the possible locations of the object center. We show that the
...
Subhransu Maji (University of California, Berkeley...
It is now common practice in machine vision to define the variability in an object's appearance in a factored manner, as a combination of shape and texture transformations. I...
This paper focuses on SIMD implementations of the 2D discrete wavelet transform (DWT). The transforms considered are Daubechies’ real-to-real method of four coefficients (Daub-...
Asadollah Shahbahrami, Ben H. H. Juurlink, Stamati...