Visual recognition
Exploiting Language Models for Visual Recognition
... The problem of learning language models from large text corpora has been widely stud- ied within the computational linguistic com- munity. However, little is known about the performance of these language models when ...
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Visual Recognition System for Hearically Impaired Person –A Review
... of visual speech varies for each utterance of the same ...speech recognition and handwriting recognition [15] Consequently, they seem to be effective for visual recognition of complex, ...
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Distinctive voices enhance the visual recognition of unfamiliar faces
... quent recognition of those ...voice recognition tasks (Schweinberger et ...person recognition involves direct associations between voices and ...improved recognition, we tested whether voices, ...
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REAL TIME VISUAL RECOGNITION OF INDIAN SIGN LANGUAGE
... As sign language is well structured code gesture, each gesture has a meaning assigned to it [3]. There are number of sign languages spreaded across the world. The sign language used by those deaf and mute at a particular ...
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Visual recognition: computational models and human psychophysics
... 40ms), recognition of all levels of this hierarchy is ...on), recognition improves, preferentially for the most super-ordinate level of ‘manmade inanimate object’ (significantly greater than structure and ...
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Cultural change and loss of ethnoecological knowledge among the Isthmus Zapotecs of Mexico
... Methods: Three hundred male heads of family were interviewed from three municipalities in the Isthmus of Tehuantepec, Oaxaca, Mexico selected to span a wide range of cultural change. Each participant was shown herbarium ...
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Quantum of Vision
... Our analysis focuses on producing a correct decision as quickly as possible from quantized sensory inputs. We rely on the sequential probability ratio test (SPRT) for optimizing the speed versus accuracy tradeoff (SAT). ...
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Natural Language Descriptions for Human Activities in Video Streams
... by visual recognition techniques to render the language entities; specifically an event recognition approach is utilised to identify object tracks, role assignment and body posture ...
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The Effect of Reliability Measure on Integration Weight Estimation in Audio- Visual Speech Recognition R. RAJAVEL
... speech recognition system using side-face mouth region image is shown in figure ...and visual recognition hypotheses length NA and NV to measure correct reliability of each modality using the ...
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Gaussian Visual Linguistic Embedding for Zero Shot Recognition
... Zero-shot recognition aims to recognise visual categories in the absence of any training examples by cross-modal transfer from ...novel visual categories (unseen during training) to a linguistic ...
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The Effect of Professional Development on Middle School Teachers' Technology Integration: An Action Research Study
... systems visual recognition (vis-recce) skills are basic skills for intelligence analysts because of the proven danger of fallible knowledge in combat, unit- level United States Air Force (USAF) intelligence ...
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Dynamic Bayesian Networks for Audio Visual Speech Recognition
... speech recognition, especially under noisy environments, has been demonstrated by the success of re- cent AVSR systems ...of visual features, or the optimal mod- els for audio-visual integration ...
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Audio Visual Speech Recognition for People with Speech Disorders
... speech recognition (ASR) is used in many assistive fields such as human computer interaction, and ...speech recognition technologies still need more work for people having speech ...some visual ...
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FM 44 80 Visual Aircraft Recognition pdf
... similar recognition features because they were all designed to perform similar, specific missions such as operating from short, unimproved runways, roads, or ...
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Talking Face Generation by Adversarially Disentangled Audio-Visual Representation
... put guidance photos are celebrities chosen randomly from the Internet. Our model is capable of generating talking faces based on both audios or videos. The focus of our work is to improve audio guided generation results ...
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Kannada Speech Recognition Using MFCC and KNN Classifier for Banking Applications
... speech recognition system for Malayalam ...for recognition of the isolated question words from Malayalam speech ...digit recognition system using MFCC as feature vector and HMM as pattern ...digit ...
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Precognitive priming and sequential effects in visual word recognition
... Psi research (encompassing parapsychology and psychical research) increasingly offers the following proposition: Future information that persons have not or could not have inferred or incurred on the basis of past ...
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Invariant visual object recognition : biologically plausible approaches
... coding in which individual neurons have high firing rates to a few objects and gradually smaller responses to other stimuli. This allows much information to be read from the responses of a single neuron, or from several ...
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A Hybrid Approach for Speech Recognition Using Visual Features
... Examines on programmed acknowledgment of cluttered discourse have been cantered on acknowledgment of acoustic discourse just whose execution corrupts within the sight of surrounding commotion. Be that as it may, ...
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Learning Discriminative Visual Codebook for Human Action Recognition
... action recognition which employs K-means to obtain action-specific codebooks and finds the nearest-neighbor visual word to quantize ...nearest visual word of learned codebook based on distance ...
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