Search
Search Results
-
Stochastic Submodular Maximization via Polynomial Estimators
In this paper, we study stochastic submodular maximization problems with general matroid constraints, which naturally arise in online learning, team...
-
Influence Maximization in Attributed Social Network Based on Susceptibility Cascade Model
Influence maximization is the problem of finding a small subset of seed nodes in a social network that can effectively maximize the spread of...
-
Correspondence analysis-based network clustering and importance of degenerate solutions unification of spectral clustering and modularity maximization
Methods to find clusters in a network have been studied extensively because clustering has practical importance in many applications. Commonly used...
-
Deviation maximization for rank-revealing QR factorizations
In this paper, we introduce a new column selection strategy, named here “Deviation Maximization”, and apply it to compute rank-revealing QR...
-
A Stochastic-Geometrical Framework for Object Pose Estimation Based on Mixture Models Avoiding the Correspondence Problem
Pose estimation of rigid objects is a practical challenge in optical metrology and computer vision. This paper presents a novel...
-
IMDCS:influence maximization with type-diversity by leveraging community structure
Influence maximization(IM) has been extensively researched in social influence analytics, aiming to find a seed set to maximize the influence spread....
-
Automated Cancer Subty** via Vector Quantization Mutual Information Maximization
Cancer subty** is crucial for understanding the nature of tumors and providing suitable therapy. However, existing labelling methods are medically...
-
Dual-State Knowledge Tracing Model with Mutual Information Maximization
Knowledge tracing aims to trace students’ knowledge states and predict their future performance based on their historical learning processes. Most...
-
SORCNet: robust non-rigid shape correspondence with enhanced descriptors by Shared Optimized Res-CapsuleNet
3D non-rigid shape correspondence, as an important research topic in 3D shape analysis, is useful but challenging in computer graphics, computer...
-
Correspondence Reweighted Translation Averaging
Translation averaging methods use the consistency of input translation directions to solve for camera translations. However, translation directions...
-
A fractional memory-efficient approach for online continuous-time influence maximization
Influence maximization (IM) under a continuous-time diffusion model requires finding a set of initial adopters which when activated lead to the...
-
Multi-part shape matching by simultaneous partial functional correspondence
Non-rigid multi-part shape matching has proven to be essential and challenging in many applications. This paper analyzes the aforementioned problem...
-
Real-Time Influence Maximization in a RTB Setting
To maximize the impact of an advertisement campaign on social networks, the real-time bidding (RTB) systems aim at targeting the most influential...
-
Towards Better Evaluations of Class Activation Map** and Interpretability of CNNs
As deep learning has been widely used in real life, there is an increasing demand for its transparency and its interpretability has received much...
-
UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning
Subtype Discovery consists in finding interpretable and consistent sub-parts of a dataset, which are also relevant to a certain supervised task. From...
-
An overview of the history of Science of Science in China based on the use of bibliographic and citation data: a new method of analysis based on clustering with feature maximization and contrast graphs
In the first part of this paper, we shall discuss the historical context of Science of Science both in China and at world level. In the second part,...
-
Combining an information-maximization-based attention mechanism and illumination invariance theory for the recognition of green apples in natural scenes
Accurate recognition of green fruit targets is one of the key technologies for fruit growth monitoring and yield estimation. To solve the problem of...
-
Optimized multi-scale affine shape registration based on an unsupervised Bayesian classification
Here, we intend to introduce an efficient, robust curve alignment algorithm with respect to the group of special affine transformations of the plane...
-
Point cloud registration with quantile assignment
Point cloud registration is a fundamental problem in computer vision. The problem encompasses critical tasks such as feature estimation,...
-
Feature-Robust Optimal Transport for High-Dimensional Data
Optimal transport is a machine learning problem with applications including distribution comparison, feature selection, and generative adversarial...