On Sensor Bias in Experimental Methods for Comparing Interest-Point, Saliency, and Recognition Algorithms.
Alexander AndreopoulosJohn K. TsotsosPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2012)
Keyphrases
- computational cost
- significant improvement
- methods outperform
- machine learning methods
- computationally expensive
- synthetic and real datasets
- benchmark datasets
- high computational complexity
- optimization methods
- data mining techniques
- recognition rate
- computer vision algorithms
- computationally intensive
- computationally demanding
- feature extraction
- theoretical guarantees
- qualitative and quantitative
- search methods
- machine learning algorithms
- computationally efficient
- object recognition
- pattern recognition
- data structure
- image processing algorithms
- vision system