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CORR
2016
Springer
60views Education» more  CORR 2016»
8 years 8 months ago
A Performance Comparison of Sort and Scan Libraries for GPUs
Sorting and scanning are two fundamental primitives for constructing highly parallel algorithms. A number of libraries now provide implementations of these primitives for GPUs, bu...
Bruce Merry
CORR
2016
Springer
81views Education» more  CORR 2016»
8 years 8 months ago
Auxiliary Deep Generative Models
Deep generative models based upon continuous variational distributions parameterized by deep networks give state-of-the-art performance. In this paper we propose a framework for e...
Lars Maaløe, Casper Kaae Sønderby, S...
CORR
2016
Springer
66views Education» more  CORR 2016»
8 years 8 months ago
Automatic Face Reenactment
We propose an image-based, facial reenactment system that replaces the face of an actor in an existing target video with the face of a user from a source video, while preserving t...
Pablo Garrido 0001, Levi Valgaerts, Ole Rehmsen, T...
CORR
2016
Springer
42views Education» more  CORR 2016»
8 years 8 months ago
Demystifying Symmetric Smoothing Filters
—Many patch-based image denoising algorithms can be formulated as applying a smoothing filter to the noisy image. Expressed as matrices, the smoothing filters must be row norma...
Stanley H. Chan, Todd E. Zickler, Yue M. Lu
CORR
2016
Springer
66views Education» more  CORR 2016»
8 years 8 months ago
Scalable Ontological Query Processing over Semantically Integrated Life Science Datasets using MapReduce
To address the requirement of enabling a comprehensive perspective of life-sciences data, Semantic Web technologies have been adopted for standardized representations of data and l...
HyeongSik Kim, Kemafor Anyanwu
CORR
2016
Springer
67views Education» more  CORR 2016»
8 years 8 months ago
Emerging Dimension Weights in a Conceptual Spaces Model of Concept Combination
Abstract. We investigate the generation of new concepts from combinations of properties as an artificial language develops. To do so, we have developed a new framework for conjunc...
Martha Lewis, Jonathan Lawry
CORR
2016
Springer
68views Education» more  CORR 2016»
8 years 8 months ago
Optimal Supervised Learning in Spiking Neural Networks for Precise Temporal Encoding
Precise spike timing as a means to encode information in neural networks is biologically supported, and is advantageous over frequency-based codes by processing input features on ...
Brian Gardner, André Grüning
CORR
2016
Springer
73views Education» more  CORR 2016»
8 years 8 months ago
Long-term Planning by Short-term Prediction
We consider planning problems, that often arise in autonomous driving applications, in which an agent should decide on immediate actions so as to optimize a long term objective. F...
Shai Shalev-Shwartz, Nir Ben-Zrihem, Aviad Cohen, ...
CORR
2016
Springer
78views Education» more  CORR 2016»
8 years 8 months ago
Object Learning and Convex Cardinal Shape Composition
—This work mainly focuses on a novel segmentation and partitioning scheme, based on learning the principal elements of the optimal partitioner in the image. The problem of intere...
Alireza Aghasi, Justin K. Romberg
CORR
2016
Springer
66views Education» more  CORR 2016»
8 years 8 months ago
Development and Experimentation of a Software Tool for Identifying High Risk Spreadsheets for Auditing
Heavy use of spreadsheets by organisations bears many potential risks such as errors, ambiguity, data loss, duplication, and fraud. In this paper these risks are briefly outlined ...
Mahmood H. Shubbak, Simon Thorne