A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Filters
A novel data streaming method detecting superpoints
2011
2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
The core of this method is a novel data structure called Vector Bloom Filter (VBF). A VBF is a variant of standard Bloom Filter (BF). ...
We obtain the information of superpoints using the overlapping of hash bit strings of the VBF. ...
We begin with a discussion of constructing a Vector Bloom Filter (VBF), and then describe how use VBF to detect superpoints. We also analyze the complexity and accuracy of the model.
A. ...
doi:10.1109/infcomw.2011.5928781
fatcat:vx3ctwmarnet7fako6sdfgrqjy
C^3Fusion: Consistent Contrastive Colon Fusion, Towards Deep SLAM in Colonoscopy
[article]
2022
arXiv
pre-print
3D colon reconstruction from Optical Colonoscopy (OC) to detect non-examined surfaces remains an unsolved problem. ...
global consistent 3D model; all within a single framework. ...
Each pixel is represented by a descriptor vector of length c = 128. Finally, to find correspondence sets between frames, descriptors are matched using cosine similarity. ...
arXiv:2206.01961v1
fatcat:q7vwuwsp7rdznm6wc37jdhgdte
Detecting Super Spreders using A Novel Data Streaming Method and Compare with Existing Technique
2017
Gayatri Naik International Journal of Innovations & Advancement in Computer Science
unpublished
In this paper we propose a novel method, Vector Bloom Algorithm for detection of superpoints in real time distributed network. ...
Theoretical analysis of the proposed system method can detect superpoints precisely and efficiently through comparison with Counting Bloom Filter Algorithm. ...
Vector Bloom Filter: This is a different variant of the existing bloom filter, it consist of (K+L+1) hash functions. ...
fatcat:ztlzdjwxvzbl5khretv7tziczm
Ego4D: Around the World in 3,000 Hours of Egocentric Video
[article]
2022
arXiv
pre-print
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. ...
Furthermore, we present a host of new benchmark challenges centered around understanding the first-person visual experience in the past (querying an episodic memory), present (analyzing hand-object manipulation ...
The universities acknowledge the usage of commercial software for de-identification of video. brighter.ai was used for redacting videos by some of the universities. ...
arXiv:2110.07058v3
fatcat:lgh27km63nhcdcpkvbr2qarsru