This paper outlines an appr oachand experimental results for Synthetic Aperture Radar (SAR) object recognition using the MSTAR data. With SAR scattering c enter locations and magnitudes as features, the invariance of these featur esis shown with obje ct articulation (e.g., rotation of a tank turr et) and with external con guration variants. This scatter er location and magnitude quasi-invarianc...

We present a new approach to named-entity recognition that jointly learns to identify named-entities in parallel text. The system generates seed candidates through local, cross-language edit likelihood and then bootstraps to make broad predictions across both languages, optimizing combined contextual, word-shape and alignment models. It is completely unsupervised, with no manually labeled items...

In this paper a new approach for invariant recognition of broken rectangular biscuits is proposed using fuzzy membership-distance products, called fuzzy moment descriptors. The existing methods for recognition of flawed rectangular biscuits are mostly based on Hough transform. However these methods are prone to error due to noise and/or variation in illumination. Fuzzy moment descriptors are le...

With the advent of computing technologies, specifically in the areas of improved computational speed and reduced system cost with additional functionalities, real-time and virtual interactions between humans and computers have gained significant research and commercial interests recently. So it is essential to focuses on human interactions with computing devices using characters and gesture rec...

Recognition for positive behavior is an appropriate response of the social environment to elicit desirable external behavior among the youth. Such positive responses, rendered from various social systems, include tangible and intangible reinforcements. The following theories are used to explain the importance of recognizing positive behavior: operational conditioning, observational learning, se...

The paper describes a technique for pose-independent recognition of convex, free-form objects from tactile sensing. The technique is based on internal and external volumetric approximations of the unknown object built from sensed contact information. Center of mass and principal inertia axes of the volumetric approximations are then exploited to estimate object pose. Recognition is carried out ...

Handwriting recognition systems rely on predefined classifiers. Small and static dictionaries are usually exploited to obtain high in-vocabulary (IV) accuracy at the expense of coverage. Thus the recognition of out-of-vocabulary (OOV) words cannot be handled efficiently. To improve OOV recognition while keeping IV dictionaries small, we introduce a multi-step approach that exploits Web resource...

In this paper we present several optimizations introduced to Conditional Random Fields-based model for proper names recognition in Polish running texts. The proposed optimizations refer to word-level segmentation problems, gazetteers incompleteness, problem of unambiguous generalization features, feature construction and selection, and finally recognition of common proper names on the basis of ...

This study used eye movement patterns to examine how high-level shape information is used during 3D object recognition. Eye movements were recorded while observers either actively memorized or passively viewed sets of novel objects, and then during a subsequent recognition memory task. Fixation data were contrasted against different algorithmically generated models of shape analysis based on: (...

In this paper, we adopt a multimodal emotion recognition framework by combining eye movements and electroencephalography (EEG) to enhance emotion recognition. The main contributions of this paper are twofold. a) We investigate sixteen eye movements related to emotions and identify the intrinsic patterns of these eye movements for three emotional states: positive, neutral and negative. b) We exa...