What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Computer vision
Stavros Perantonis spends much of his time researching Artificial intelligence, Pattern recognition, Computer vision, Pattern recognition and Algorithm.
His Artificial intelligence study frequently draws connections between adjacent fields such as Orientation.
His Pattern recognition study combines topics from a wide range of disciplines, such as Pixel, Quantization, Compact space and Scalar.
His research integrates issues of Probabilistic logic, Visual processing and Audio visual in his study of Computer vision.
His Pattern recognition research integrates issues from Feature extraction, Information retrieval and Edge detection.
His Algorithm research incorporates elements of Artificial neural network, Feedforward neural network, Feed forward, Mathematical optimization and Benchmark.
His most cited work include:
- Adaptive degraded document image binarization (485 citations)
- Translation, rotation, and scale invariant pattern recognition by high-order neural networks and moment classifiers (215 citations)
- PANORAMA: A 3D Shape Descriptor Based on Panoramic Views for Unsupervised 3D Object Retrieval (169 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Artificial intelligence, Pattern recognition, Computer vision, Artificial neural network and Feature extraction.
The concepts of his Artificial intelligence study are interwoven with issues in Machine learning and Speech recognition.
The various areas that Stavros Perantonis examines in his Pattern recognition study include Pixel and Cluster analysis.
His Artificial neural network research is multidisciplinary, relying on both Algorithm and Mathematical optimization.
His Feature extraction research integrates issues from Word, Principal component analysis, Feature and Image retrieval.
His work deals with themes such as Pattern recognition and Earth mover's distance, which intersect with Segmentation.
He most often published in these fields:
- Artificial intelligence (58.78%)
- Pattern recognition (27.48%)
- Computer vision (21.37%)
What were the highlights of his more recent work (between 2012-2020)?
- Artificial intelligence (58.78%)
- Speech recognition (12.98%)
- Deep learning (8.40%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Artificial intelligence, Speech recognition, Deep learning, Context and Multimedia.
Stavros Perantonis has researched Artificial intelligence in several fields, including Machine learning and Pattern recognition.
His Pattern recognition research is multidisciplinary, incorporating elements of Bag-of-words model in computer vision, Visual Word, Representation and Inference.
His Speech recognition research includes themes of Classifier and Sentiment analysis.
His Deep learning study also includes
- Feature that intertwine with fields like Audio recognition, Feature learning, Image retrieval and Image,
- Modality that intertwine with fields like Network architecture, Fine-tuning, Gesture and Hidden Markov model.
His Multimedia research focuses on subjects like Web application, which are linked to The Internet, Human motion and Mechanical engineering.
Between 2012 and 2020, his most popular works were:
- Bag of spatio-visual words for context inference in scene classification (62 citations)
- Clothes change detection using the Kinect sensor (12 citations)
- Emotion Recognition from Speech: A Survey. (8 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Computer vision
His scientific interests lie mostly in Artificial intelligence, Soundscape, Deep learning, Speech recognition and Curse of dimensionality.
In his papers, Stavros Perantonis integrates diverse fields, such as Artificial intelligence, Set and Context.
The Deep learning study combines topics in areas such as Cepstrum, Sentiment analysis, Modality, Affective computing and Gesture.
Stavros Perantonis studies Speech recognition, focusing on Hidden Markov model in particular.
His Curse of dimensionality research is multidisciplinary, incorporating perspectives in Theoretical computer science, Deterministic algorithm and Cluster analysis.
The study incorporates disciplines such as Range, Bag-of-words model in computer vision, Correlogram and Inference in addition to Cluster analysis.
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