175
click to vote
CORR
2016
Springer
10 years 13 days ago
2016
Springer
This paper aims to compare between four different types of feature extraction approaches in terms of texture segmentation. The feature extraction methods that were used for segment...
CORR
2016
Springer
10 years 13 days ago
2016
Springer
Abstract—This paper presents the case for Data Plane Timestamping (DPT). We argue that in the unique environment of Software-Defined Networks (SDN), attaching a timestamp to the...
CORR
2016
Springer
10 years 13 days ago
2016
Springer
Abstract— As our ground transportation infrastructure modernizes, the large amount of data being measured, transmitted, and stored motivates an analysis of the privacy aspect of ...
CORR
2016
Springer
10 years 13 days ago
2016
Springer
Motivated by clinical trials, we study bandits with observable noncompliance. At each step, the learner chooses an arm, after, instead of observing only the reward, it also observ...
97
Voted
CORR
2016
Springer
10 years 13 days ago
2016
Springer
We study the semantic foundation of expressive probabilistic programming languages, that support higher-order functions, continuous distributions, and soft constraints (such as An...
CORR
2016
Springer
10 years 13 days ago
2016
Springer
We propose a novel camera pose estimation or perspectiven-point (PnP) algorithm, based on the idea of consistency regions and half-space intersections. Our algorithm has linear ti...
CORR
2016
Springer
10 years 13 days ago
2016
Springer
– Human face aging is irreversible process causing changes in human face characteristics such us hair whitening, muscles drop and wrinkles. Due to the importance of human face ag...
CORR
2016
Springer
10 years 13 days ago
2016
Springer
CORR
2016
Springer
10 years 13 days ago
2016
Springer
Why has SIFT been so successful? Why its extension, DSP-SIFT, can further improve SIFT? Is there a theory that can explain both? How can such theory benefit real applications? Ca...
101
click to vote
CORR
2016
Springer
10 years 13 days ago
2016
Springer
Most data for evaluating and training recommender systems is subject to selection biases, either through self-selection by the users or through the actions of the recommendation s...