Although various methods have been proposed for pedestrian attribute recognition, most studies follow the same feature learning mechanism, \ie, a shared image to classify multiple attributes. However, this mechanism leads low-confidence predictions and non-robustness of model in inference stage. In paper, we investigate why is case. We mathematically discover that central cause optimal cannot m...

Extensible programming languages and their compilers use highly modular specifications of languages and language extensions that allow a variety of different language feature sets to be easily imported into the programming environment by the programmer. Our model of extensible languages is based on higher-order attribute grammars and an extension called “forwarding” that mimics a simple rewriti...

Shape cues play an important role in computer vision, but shape is not the only information available in images. Materials, such as fabric and plastic, are discernible in images even when shapes, such as those of an object, are not. We argue that it would be ideal to recognize materials without relying on object cues such as shape. This would allow us to use materials as a context for other vis...

The entity attribute extraction problem, or how to extract entities and their attribute values from natural language Web documents, is of critical importance for Web search and information access in general. Unfortunately, because of the noisy nature of theWeb and its scale, entity attribute extraction is notoriously challenging in terms of both extraction efficiency and quality. In our earlier...

This paper presents an attribute fusion method applied to 3D seismic block analysis. Attributes are extracted from the underground data and are aggregated by means of the fuzzy set theory which allows to code the linguistic attribute relation given by geophysicists under the form of IF-THEN rules. A cooperative system has been designed in order to involve the user in the fusion process. The mai...

We present a conceptual framework and a process model for feature extraction and iconic visualization. The features are regions of interest extracted from a data set. They are represented by attribute sets, which play a key role in the visualization process. These attribute sets are mapped to icons, or symbolic parametric objects, for visualization. The features provide a compact abstraction of...