Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
Array inlining expands the concepts of object inlining to arrays. Groups of objects and arrays that reference each other are placed consecutively in memory so that their relative ...
We present a prototype that automatically aligns acoustic musical signals with their corresponding textual lyrics, in a manner similar to manually-aligned karaoke. We tackle this ...
Ye Wang, Min-Yen Kan, Tin Lay Nwe, Arun Shenoy, Ju...
Abstract. In this paper, we propose a robust fully non-supervised method dedicated to the segmentation of the brain in T1-weighted MR images. The first step consists in the analysi...
Jean-Francois Mangin, Olivier Coulon, Vincent Frou...
Abstract--This work provides a model for tubular structures, and devises an algorithm to automatically extract tubular anatomical structures from medical imagery. Our model fits ma...
Vandana Mohan, Ganesh Sundaramoorthi, Allen Tannen...