Download Advances in Big Data: Proceedings of the 2nd INNS Conference by Plamen Angelov, Yannis Manolopoulos, Lazaros Iliadis, Asim PDF

By Plamen Angelov, Yannis Manolopoulos, Lazaros Iliadis, Asim Roy, Marley Vellasco

The e-book deals a well timed photo of neural community applied sciences as an important section of tremendous information analytics structures. It promotes new advances and learn instructions in effective and leading edge algorithmic ways to interpreting titanic information (e.g. deep networks, nature-inspired and brain-inspired algorithms); implementations on assorted computing structures (e.g. neuromorphic, portraits processing devices (GPUs), clouds, clusters); and massive information analytics purposes to unravel real-world difficulties (e.g. climate prediction, transportation, power management). The publication, which experiences at the moment version of the resorts convention on tremendous facts, hung on October 23–25, 2016, in Thessaloniki, Greece, depicts an attractive collaborative event of neural networks with gigantic info and different studying technologies.

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Society for Industrial and Applied Mathematics (2007) 22. : Two-frame motion estimation based on polynomial expansion. , Gustavsson, T. ) SCIA 2003. LNCS, vol. 2749, pp. 363–370. Springer, Heidelberg (2003). gr Abstract. The increasing amount of image databases over the last years has highlighted our need to represent an image collection efficiently and quickly. The majority of image retrieval and image clustering approaches has been based on the construction of a visual vocabulary in the so called Bag-of-Visual-words (BoV) model, analogous to the Bag-of-Words (BoW) model in the representation of a collection of text documents.

Table 3. 22 dataset 5 Conclusions In this paper, a supervised codebook learning technique for face retrieval was presented. It was demonstrated using one large-scale dataset and two smaller datasets that the proposed technique can improve the retrieval precision and, at the same time, reduce the storage requirements and the retrieval time by almost two orders of magnitude. There are several future research directions. In this work it was assumed that the face images were already aligned using face detection and alignment techniques and a fixed grid was used for the O-SBoF technique.

In: Symposium on Discrete Algorithms, pp. 1027–1035. Society for Industrial and Applied Mathematics (2007) 22. : Two-frame motion estimation based on polynomial expansion. , Gustavsson, T. ) SCIA 2003. LNCS, vol. 2749, pp. 363–370. Springer, Heidelberg (2003). gr Abstract. The increasing amount of image databases over the last years has highlighted our need to represent an image collection efficiently and quickly. The majority of image retrieval and image clustering approaches has been based on the construction of a visual vocabulary in the so called Bag-of-Visual-words (BoV) model, analogous to the Bag-of-Words (BoW) model in the representation of a collection of text documents.

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