[PDF] Top 20 Learning a Scene Background Model via Classification
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Learning a Scene Background Model via Classification
... Learning a Scene Background Model via Classification Horng-Horng Lin, Student Member, IEEE, Tyng-Luh Liu, Member, IEEE, and Jen-Hui Chuang, Senior Member, IEEE ... See full document
14
A Multi-Class SVM Classification System Based on Methods of Self-Learning and Error Filtering
... improve classification accuracy, two revised methods, self-learning and error filtering, for straight forward SVM results are pro- ...retrain classification system, and the method of error filtering ... See full document
9
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data
... relation classification seeks to classify incoming query instances after meeting only few support ...propose a few-shot learning framework for relation classification, which is particularly ... See full document
10
Supervised Fuzzy ART: Training of a Neural Network for Pattern Classification via Combining Supervised and Unsupervised Learning
... According to the matching criteria, if the input vector I is mapped to different desired output from that of the hyper- rectangle containing I, a new category is created.. Initial[r] ... See full document
6
A machine learning approach for acquiring descriptive classification rules of shape contours
... Ueda and Suzuki (4) retained perceptually relevant features in shapes to learn shape models. These results show that machine learning techniques really help the tas[r] ... See full document
8
A novel learning algorithm for data classification with radial basis function networks
... One important advantage of the proposed learning algorithm, in comparison with the support vector machines, is that the proposed learning algorithm normally takes far less time[r] ... See full document
6
Robot motion classification from the standpoint of learning control
... robot learning control, the learning space for executing the general motions of multi-joint robot ma- nipulators is very ...the learning controllers are employed as major roles in motion governing, ... See full document
12
An EM based multiple instance learning method for image classification
... based learning algorithm to provide a comprehensive procedure for maximizing the measurement of diverse density on given multiple ...based learning framework converts an MI problem into a ... See full document
5
Using Back Propagation Model to Design a MIDI Music Classification System
... different learning rates under the same initial condition and 10,000 training ...the learning rate, the smaller the training errors. As a result, it seems that it is better to select a larger ... See full document
6
Multiclass support vector classification via coding and regression
... x A R d1 ...g A J ...construct a classification rule which, given a new input, can correctly predict the associated class label of this new ...machine learning community, ... See full document
12
A Street Scene Surveillance System for Moving Object Detection,Tracking and Classification
... the background image subtraction method is used to segment the dynamic object in the ...scene. A background model of the scene is first generated based on the statistics of ... See full document
7
Layered Scene Decomposition via the Occlusion-CRF
... propose a new optimization approach, named Fu- sion Space (FS), to infer an occlusion-CRF model from an RGBD ...proposes a restricted solution space for each variable, and solves a ... See full document
9
Movie scene segmentation using background information
... Abstract Scene extraction is the first step toward semantic understanding of a ...movie scene extraction based on the analysis of background ...particular scene often have similar ...the ... See full document
10
N-Gram Model with a Background Distribution
... of a news event. In this paper, we present a method of extraction using a topical N-gram model with a background distribution ...our model treats words in their textual ... See full document
9
Situated Learning in Class Using Pocket PCs via a Mobile Learning System
... of learning and assessment The assessment of situated learning should focus on learning processes and outcomes (McLellan, ...that learning and assessment are ...teachers. Learning ... See full document
4
A decision support system for constructing an alert classification model
... r a c t As the rapid growth of network attacking tools, patterns of network intrusion events change ...suffer a large mount of false alerts and result in difficulties for network administrators to discover ... See full document
11
A Conceptual Model of Knowledge Evaluation via Knowledge
... that a specific knowledge object is substantially valuable to an ...propose a conceptual model for knowledge evaluation (KEM KFM ). The model adopts a mechanism tracing and keeping ... See full document
1
A Learning State Space Model for Image Retrieval
... from a much closer ...servers via multiple, redundant, unicast ...been a spate of recent e ffort on systems, information exchange, and control to enable efficient P2P and video content ...traverse ... See full document
12
Constructing a role playing interactive learning content model
... RPG-like Learning Content Figure 7: The OOICM running process After the learning activity starts, the Petri Net runs and becomes State 2 in Figure ...All scene objects are set according to their ... See full document
8
A Spatial-Extended Background Model for Moving Blobs Extraction in Indoor Environments
... To model the relation among pixels, we need to use the relations among near pixels to reduce time and storage consumption, and then extend the relations into a more global ...into a more global ... See full document
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