… signature verification (OSV) systems, but how to learn discriminative signature features from
limited signature … Firstly, the supervised representation learning of sequence features is …

… nonrigid features of surface[45-47] and volumetric representation[… In summary, these techniques
are able to speed up online … segmentations and region clustering via image features, are …

… Stack Overflow is a popular on-line question and answer site … similar words into a common
representation. After the above … to the centroids of the other clusters (ie, the clusters that do not …

… of deep learning inspires new methods to reconsider object representations. The … cluster
tracking, the problem is relatively simple, since no occlusion occurs. To keep the method on-line …

… In chapter 3, we probe to understand knowledge representation and reasoning (KRR) as a
prominent field of research in AI. Apart from an overview of the important features of KRR, we …

… representation based tracking methods mentioned above, our tracker employs local sparse
coding and structural feature pooling to build a middle-level representation … means clustering …

… line drawing is to convert its representation form a bitmap to a … using a gradient-based pixel
clustering technique, following a … To illustrate our improvement on line tracking accuracy, we …

… is the graph-based clustering methods developed by [21] in … is determined based upon the
similarity of facial features. With … of celebrity photos freely available online, face models are …

… matrix that returns a compact representation of a multi-dimensional … the online detection
methods, so anomaly detection methods … for different features or using some clustering methods. …

… Feature recovering methods recognize defective information by contrasting distinctive … -related
data flow clustering analysis based on the Numerous Specimen Flocking Method. The …