The objective of this paper is to present an infrastructure IP (I-IP) designed to characterize yield loss in the process back-end. The I-IP structure is described in using a botto...
Constraint satisfaction problems (CSPs) are ubiquitous in many real-world contexts. However, modeling a problem as a CSP can be very challenging, usually requiring considerable ex...
We present an integrated framework for dynamic face detection and recognition, where head pose is estimated using Support Vector Regression, face detection is performed by Support...
This paper presents an efficient and homogeneous paradigm for automatic acquisition and recognition of nonparametric shapes. Acquisition time varies from linear to cubic in the nu...
— Learning parameters of a motion model is an important challenge for autonomous robots. We address the particular instance of parameter learning when tracking motions with a swi...