Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A review of mean-shift algorithms for clustering
MA Carreira-Perpinán - ar** of phenotype space with single-cell data
Accurate identification of cell subsets in complex populations is key to discovering novelty in
multidimensional single-cell experiments. We present X-shift (http://web. stanford. edu …
multidimensional single-cell experiments. We present X-shift (http://web. stanford. edu …
3D point cloud compression: A survey
In recent years, 3D point clouds have enjoyed a great popularity for representing both static
and dynamic 3D objects. When compared to 3D meshes, they offer the advantage of …
and dynamic 3D objects. When compared to 3D meshes, they offer the advantage of …
How do humans sketch objects?
Humans have used sketching to depict our visual world since prehistoric times. Even today,
sketching is possibly the only rendering technique readily available to all humans. This …
sketching is possibly the only rendering technique readily available to all humans. This …
[KNIHA][B] Data clustering: theory, algorithms, and applications
The monograph Data Clustering: Theory, Algorithms, and Applications was published in
2007. Starting with the common ground and knowledge for data clustering, the monograph …
2007. Starting with the common ground and knowledge for data clustering, the monograph …
Locality-sensitive hashing scheme based on p-stable distributions
We present a novel Locality-Sensitive Hashing scheme for the Approximate Nearest
Neighbor Problem under lp norm, based on p-stable distributions. Our scheme improves the …
Neighbor Problem under lp norm, based on p-stable distributions. Our scheme improves the …
Region covariance: A fast descriptor for detection and classification
We describe a new region descriptor and apply it to two problems, object detection and
texture classification. The covariance of d-features, eg, the three-dimensional color vector …
texture classification. The covariance of d-features, eg, the three-dimensional color vector …
Ensemble tracking
S Avidan - IEEE transactions on pattern analysis and machine …, 2007 - ieeexplore.ieee.org
We consider tracking as a binary classification problem, where an ensemble of weak
classifiers is trained online to distinguish between the object and the background. The …
classifiers is trained online to distinguish between the object and the background. The …
A sparse texture representation using local affine regions
This paper introduces a texture representation suitable for recognizing images of textured
surfaces under a wide range of transformations, including viewpoint changes and nonrigid …
surfaces under a wide range of transformations, including viewpoint changes and nonrigid …