نتایج جستجو برای: low level feature
تعداد نتایج: 2270288 فیلتر نتایج به سال:
In developing a visual learning method, the selection of features highly affects the performance of the method. However, the optimal features generally depend on learning tasks. Therefore, it is necessary for the effective learning to find the optimal features according to the learning task. In this paper, we propose two types of new visual learning methods; the feature combination method and t...
An efficient low-level word image representation plays a crucial role in general cursive word recognition. This paper proposes a novel representation scheme, where a word image can be represented as two sequences of feature vectors in two independent channels, which are extracted from vertical peak points on the upper external contour and at vertical minima on the lower external contour, respec...
This paper presents a novel approach to pedestrian classification which involves a high-level fusion of depth and intensity cues. Instead of utilizing depth information only in a pre-processing step, we propose to extract discriminative spatial features (gradient orientation histograms and local receptive fields) directly from (dense) depth and intensity images. Both modalities are represented ...
This is a report of the Multimedia Understanding Group participation in TRECVID-2010, where we submitted full runs for the Semantic Indexing (SIN) task. Our submission aims at experimentally evaluating three research items, that are important for work that is currently in progress. First, we examine the use of bag-of-words audio features for video concept detection, with noisy and/or low-qualit...
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the uncertainty. Bayesian probabilistic approach is robust to manage the uncertainty, and powerful to model high-level contexts like the relationship between places and objects. In this paper, we propose a context-based ...
We propose visual learning methods. Recognition systems based on visual learning can be flexibly applied to wide variety of recognition tasks because they can find useful features of objects for recognition by learning with given images. In order to construct such recognition systems, we propose two types of visual learning methods based on the appearance and shape of objects. In both methods, ...
Language workbenches are tools that provide high-level mechanisms for the implementation of (domain-specific) languages. Language workbenches are an active area of research that also receives many contributions from industry. To compare and discuss existing language workbenches, the annual Language Workbench Challenge was launched in 2011. Each year, participants are challenged to realize a giv...
We introduce and compare several strategies for learning discriminative features from electroencephalography (EEG) recordings using deep learning techniques. EEG data are generally only available in small quantities, they are highdimensional with a poor signal-to-noise ratio, and there is considerable variability between individual subjects and recording sessions. Our proposed techniques specif...
This paper focuses on emotion recognition and perception in Romantic orchestral music. The study seeks to explore the relationship between perceived emotion and acoustic and physiological features. Seventy-five musical excerpts are used as stimuli to gather psychophysiological and behavioral responses of excitement and pleasantness from participants. A set of acoustic features ranging from low-...
Policies are becoming increasingly important in modern computer systems as a mechanism for end users and organisations to exhibit a level of control over software. Policies have long been established as an effective mechanism for enabling appropriate access control over resources, and for enforcing security considerations. However they are now becoming valued as a more general management mechan...
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