Discrete Probability3
Random Variables Random Variable function preimage: sample space of an experiment image: the set of real numbers ...
최근 포스트
Understanding of a Camera
Image Sensing and Acquisition Image formation model Illumination(energy) source Scene element Imaging system 반사된...
2D Projective Transformation
Introduction Similarity transformation rotation, translation, scaling etc 물체의 형태는 변하지 않음 Affine transformation 형태가 미...
Ch 4. The Processor - (9)
9. RISC vs CISC
Ch 4. The Processor - (8)
8. Performance - From chapter1
Discrete Probability2
Bayes’ Theorem Bayes’ Theorem p(E)≠ 0 and p(F) ≠ 0 Generalized Bayes’ Theorem 𝑝(𝐹j|𝐸)= 𝑝(𝐸|𝐹j)𝑝(𝐹j) / ∑𝑝(𝐸|𝐹i)𝑝(𝐹i)...
Discrete Probability
Introduction to Discrete Probability Key Terms experiment a procedure that yields one of a given set of possible outcomes ...
Counting3
Binomial Coefficients and Identities Powers Binomial Expression binomial expression: sum of two terms(x+y) (x+y)^n
Counting2
The Pigeonhole Principle (비둘기집의 원리) k+1개의 objects를 k개의 상자에 넣으려면, 적어도 한 상자는 두개 이상이 들어가야한다. p: k+1 obejcts are placed into k boxes q: at least one box c...
Counting
Product Rule n1 * n2 Counting Functions m elements in the domain n elements in the codomain n^m Counting One-to-One Fun...