The modeling of the human visual attention into a computational attention model leads to the split of visual features into several independent channels. Then, a difficult problem ...
Christel Chamaret, Jean-Claude Chevet, Olivier Le ...
A method of comparing and identifying two patterns is proposed based on the accidental coincidence probability of the patterns' features. The probability is calculated under ...
Segmentation of range images has long been considered an important and difficult problem and continues to attract the attention of researchers in computer vision. In this paper we...
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
Full-Text XML search is a difficult problem due to its structural and textual constrains. The latter being individually well explored topics, lack mechanisms of integration with e...
Verification of a modular system composed of communicating components is a difficult problem, especially when the models of the components are not available. Conventional testing t...
Roland Groz, Keqin Li 0002, Alexandre Petrenko, Mu...
One style of Multi-Engine Machine Translation architecture involves choosing the best of a set of outputs from different systems. Choosing the best translation from an arbitrary s...
Abstract. Relationships are an essential part of the design of a database because they capture associations between things. Comparing and integrating relationships from heterogeneo...
Designing watermarking codes that can withstand geometric and other desynchronization attacks is a notoriously difficult problem. One may ask whether these difficulties are due to...
Super-resolution is an important but difficult problem in image/video processing. If a video sequence or some training set other than the given low-resolution image is available, ...