Top "Feature-extraction" questions

In pattern recognition and in image processing, feature extraction is a special form of dimensionality reduction.

Determinig the number of hidden states in a Hidden Markov Model

I am learning about Hidden Markov Models for classifying motion in a sequence of t image frames. Assume I have …

machine-learning computer-vision hidden-markov-models feature-extraction
ValueError: After pruning, no terms remain. Try a lower min_df or a higher max_df

from sklearn.feature_extraction.text import TfidfVectorizer tfidf_vectorizer = TfidfVectorizer(max_df=0.95, max_features=200000, min_df=.5, stop_words='english', use_…

python scikit-learn feature-extraction tf-idf
How to use SIFT/SURF as features for a machine learning algorithm?

Im working on an automatic image annotation problem in which im trying to associate tags with images. For that im …

opencv image-processing machine-learning sift feature-extraction
Using a sliding window with GLCM

I'm trying to calculate various image features from the Gray-Level Co-occurence Matrix (GLCM) in MatLab using the graycomatrix function. Example …

matlab image-processing feature-extraction glcm