Results 231 to 240 of about 405,051 (265)
Some of the next articles are maybe not open access.
On Affirmative Adaptive Failure Detection
2012Fault detection methodology is a crucial part in providing a scalable, dependable and high availability of grid computing environment. The most popular technique that used in detecting fault is heartbeat mechanism where it monitors the grid resources in a very short interval.
Ahmad Shukri Mohd Noor +3 more
openaire +1 more source
An adaptive framework for saliency detection
International Journal of Imaging Systems and Technology, 2019AbstractAt present, people are inclined to use one saliency detection method to cover all the pixels in an image. However, every method has its own limitations. A single method may not yield a good performance at all image scenes. In this article, we propose a new adaptive framework to detect salient objects.
Ning Jia 0003 +4 more
openaire +1 more source
Blind adaptive multiuser detection
IEEE Transactions on Information Theory, 1995This paper introduces an adaptive multiuser detector which converges (for any initialization) to the minimum mean-square error detector without requiring training sequences. This blind multiuser detector requires no more knowledge than does the conventional single-user receiver: the desired user's signature waveform and its timing.
Michael L. Honig +2 more
openaire +2 more sources
Saliency detection by adaptive clustering
2013 Visual Communications and Image Processing (VCIP), 2013Saliency detection plays an important role in image segmentation, content-aware resizing and object recognition. Most approaches obtain promising performance recently, which is useful for the postprocessing. We propose a clustering-based method to detect refined regions with comparative performance.
Hai Cao +4 more
openaire +1 more source
Detecting and adapting to drifting concepts
2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012The importance of incremental learning in changing environments has been acknowledged in recent years. In this paper we present an ensemble learning method for supervised learning with drifting concepts. The method employs hypothesis test as mechanism for detecting concept drift and learns a base classifier for each new training data chunk.
Haixia Chen, Shengxian Ma, Kai Jiang
openaire +1 more source
Adaptive sequential compressive detection
2014 48th Asilomar Conference on Signals, Systems and Computers, 2014Sparsity is at the heart of numerous applications dealing with multidimensional phenomena with low-information content. The primary question that this work investigates is whether, and how much, further compressive gains could be achieved if the goal of the inference task does not require exact reconstruction of the underlying signal. In particular, if
Mardani, Davood, Atia, George K.
openaire +2 more sources
Adaptive Detection of Local Scanners
2006Network attacks often employ scanning to locate vulnerable hosts and services. Fast and accurate detection of local scanners is key to containing an epidemic in its early stage. Existing scan detection schemes use statically determined detection criteria, and as a result do not respond well to traffic perturbations.
Ahren Studer, Chenxi Wang
openaire +1 more source
Terrain-adaptive obstacle detection
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016Reliable detection and avoidance of obstacles is a crucial prerequisite for autonomously navigating robots as both guarantee safety and mobility. To ensure safe mobility, the obstacle detection needs to run online, thereby taking limited resources of autonomous systems into account. At the same time, robust obstacle detection is highly important. Here,
Benjamin Suger +2 more
openaire +1 more source
Blind adaptive multiuser detection
GLOBECOM '05. IEEE Global Telecommunications Conference, 2005., 2005We propose a new blind multiuser signal model and detection framework for solving the near-far problem in synchronous CDMA in this paper. Compared with existing blind detectors, the proposed framework requires a minimum number of previously received signals, which is about the number of interfering users, and no sub-space separation or sequence ...
Shu Wang +7 more
openaire +1 more source
Adaptive patches for change detection
2011 18th IEEE International Conference on Image Processing, 2011This paper is concerned with “structural” change detection in pair of images. This is a challenging and open problem since the difficulties stemming from the confusion between real changes (depending on the objects/structures inside the images) and visual changes (observed through the difference in terms of image luminance) are numerous.
Xing Gong, Thomas Corpetti
openaire +1 more source