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Found 7 papers, 0 papers with code
Method of Tracking and Analysis of Fluorescent-Labeled Cells Using Automatic Thresholding and Labeling
This paper presents a new method for efficiently tracking cells and quantitatively detecting the signal ratio between cytoplasm and nuclei.
Subspace-Guided Feature Reconstruction for Unsupervised Anomaly Localization
In this paper, we propose a novel subspace-guided feature reconstruction framework to pursue adaptive feature approximation for anomaly localization.
PMSSC: Parallelizable multi-subset based self-expressive model for subspace clustering
Subspace clustering methods which embrace a self-expressive model that represents each data point as a linear combination of other data points in the dataset provide powerful unsupervised learning techniques.
Multi-scale Template Matching with Scalable Diversity Similarity in an Unconstrained Environment
We propose a novel multi-scale template matching method which is robust against both scaling and rotation in unconstrained environments.
A Probabilistic Bitwise Genetic Algorithm for B-Spline based Image Deformation Estimation
We propose a novel genetic algorithm to solve the image deformation estimation problem by preserving the genetic diversity.
Cross-domain Deep Feature Combination for Bird Species Classification with Audio-visual Data
In recent decade, many state-of-the-art algorithms on image classification as well as audio classification have achieved noticeable successes with the development of deep convolutional neural network (CNN).
Audio Classification
Bird Species Classification With Audio-Visual Data
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Blur-Countering Keypoint Detection via Eigenvalue Asymmetry
To settle this issue, we propose a blur-countering method for detecting valid keypoints for various types and degrees of blurred images.
