Titlebook: Soft Computing in Data Science; Third International Azlinah Mohamed,Michael W. Berry,Bee Wah Yap Conference proceedings 2017 Springer Natu

盲信者

Rare Event Prediction Using Similarity Majority Under-Sampling Techniquey but too few rare samples as training data, will mislead the classifier to become over-fitted by learning too much from majority class samples and become under-fitted lacking recognizing power for minority class samples. In this research work, a novel rebalancing technique that under-samples (reduc

出來(lái)

Pattern Recognition of Balinese Carving Motif Using Learning Vector Quantization (LVQ)ese carvings in traditional buildings and sacred buildings, to inherit the culture it needs a management, documentation and dissemination of information by utilizing technology. Digital image processing and pattern recognition can be utilized to preserve arts and culture, the technology can be utili

gorgeous

有常識(shí)

Modeling of the Gaussian-Based Component Analysis on the Kernel Space to Extract Face Imagethe image to the features spaces by using kernel trick. In this paper, the new model is proposed to add the image features to be more dominant, so that the main image features can be raised. Two databases were used to verify the proposed method, which are the YALE and the CAI-UTM. Three scenarios ha

BET

Classification of Batik Kain Besurek Image Using Speed Up Robust Features (SURF) and Gray Level Co-o of each Indonesian province. One of the motifs is called as Batik Kain Besurek or shortly Batik Besurek, originally from Bengkulu Province. This motif constitutes a motif family consisting of five main motifs: . Currently most Batik Besureks reflect a creation developed from combination of main mot

一回合

縱火

The Selection Feature for Batik Motif Classification with Information Gain Valueeatures, shape features, and color features. Features can be utilized separately or combined between features. The problem in this research is how to get the potential feature to classified the motif of batik. The feature combination causes enhancement in the number of features causing dataset size

愛(ài)了嗎

Eye Detection for Drowsy Driver Using Artificial Neural Networkven though a lot of studies and work has been done on road and vehicle designs to improve driver’s safety yet the total number of car crashes is increasing day by day. Therefore, the most factors that cause an accident is fatigue driver rather than other factors which are distraction, speeding, drin

LUMEN

Acclaim

A Design of a Reminiscence System for Tacit Knowledge Recall and Transferiness owner to the younger generation. The process of transferring knowledge in family firms is very challenging because it involves the main source of knowledge who is business owners. The majority of the business owner who are also the founder of the family firm are elderly, whom facing difficulti