Boundary descriptors may be used effectively in various image based recognition problems. However, when images are acquired in uncontrolled conditions, changes in pose and illumin...
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
Jie Wang, Konstantinos N. Plataniotis, Anastasios ...
Most of behavior recognition methods proposed so far share the limitations of bottom-up analysis, and singleobject assumption; the bottom-up analysis can be confused by erroneous ...
For many years, C has been known as a fast, yet unfriendly language. Similarly, Java presents its own trade-offs, including more advanced language features at the cost of slower ex...
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal